ML System S.A. — Audit Report / Information 2024

Apr 30, 2025

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    • title: GK_ML_System_SzB2024_30042025.xhtml
    • style (type="text/css"): // /* vim: set shiftwidth=2 tabstop=2 autoindent cindent expandtab filetype=css: / /! * Base CSS for pdf2htmlEX * Copyright 2012,2013 Lu Wang coolwanglu@gmail.com * https://github.com/coolwanglu/pdf2htmlEX/blob/master/share/LICENSE / / Part 1: Web Page Layout: Free to modify, except for a few of them which are required by pdf2htmlEX.js, see the comments / span[class='ff'] { z-index: 999; } div[class*='ff'] { z-index: 999; } a { z-index: 999; } a > span { z-index: 999; } #sidebar { /* Sidebar / position:absolute; top:0; left:0; bottom:0; width:250px; padding:0; margin:0px; overflow:auto; } #page-container { / PDF container / position:absolute; / required for calculating relative positions of pages in pdf2htmlEX.js / top:0; left:0px; margin:0; padding:0; border:0; / required for lazy page loading in pdf2htmlEX.js (page visibility test) / } @media screen { / for sidebar / #sidebar.opened + #page-container { left:250px; } #page-container { / bottom' and right' are required for lazy page loading in pdf2htmlEX.js (page visibility test) * alternatively you may set width and height / bottom:0; right:0; overflow:auto; } .loading-indicator { display:none; } .loading-indicator.active { display:block; position:absolute; width:64px; height:64px; top:50%; left:50%; margin-top:-32px; margin-left:-32px; } .loading-indicator img { position:absolute; top:0; left:0; bottom:0; right:0; } } @media print { @page { margin:0; } html { margin:0; } body { margin:0; -webkit-print-color-adjust:exact; / enable printing background images for WebKit / } #sidebar { display:none; } #page-container { width:auto; height:auto; overflow:visible; background-color:transparent; } .d { display:none; } } / Part 2: Page Elements: Modify with caution * The followings are base classes, some of which are meant to be override by PDF specific classes * So do not increase the specificity (e.g. ".classname" -> "#page-container .classname") / .pf { / page / position:relative; background-color:white; overflow: hidden; margin:0; border:0; / required by pdf2htmlEX.js for page visibility test / } .pc { / content of a page / position:absolute; border:0; padding:0; margin:0; top:0; left:0; width:100%; height:100%; overflow:hidden; display:block; / set transform-origin for scaling / transform-origin:0% 0%; -ms-transform-origin:0% 0%; -webkit-transform-origin:0% 0%; } .pc.opened { / used by pdf2htmlEX.js, to show/hide pages / display:block; } .bf { / images that occupies the whole page / position:absolute; border:0; margin:0; top:0; bottom:0; width:100%; height:100%; -ms-user-select:none; -moz-user-select:none; -webkit-user-select:none; user-select:none; } .bi { / images that cover only a part of the page / position:absolute; border:0; margin:0; -ms-user-select:none; -moz-user-select:none; -webkit-user-select:none; user-select:none; } @media print { .pf { margin:0; box-shadow:none; page-break-after:always; page-break-inside:avoid; } @-moz-document url-prefix() { / fix page truncation for FireFox / .pf { overflow:visible; border:1px solid #FFFFFF; } .pc {overflow:visible;} } } .c { / clip box / position:absolute; border:0; padding:0; margin:0; overflow:hidden; display:block; } .t { / text line / position:absolute; white-space:pre; font-size:1px; transform-origin:0% 100%; -ms-transform-origin:0% 100%; -webkit-transform-origin:0% 100%; unicode-bidi:bidi-override;/ For rtl languages, e.g. Hebrew, we don't want the default Unicode behaviour / -moz-font-feature-settings:"liga" 0;/ We don't want Firefox to recognize ligatures / } .t:after { / webkit #35443 / content: ''; } .t:before { / Workaround Blink(up to 41)/Webkit bug of word-spacing with leading spaces (chromium #404444 and pdf2htmlEX #412) / content: ''; display: inline-block; } .t span { / text blocks within a line / / Blink(up to 41)/Webkit have bug with negative word-spacing and inline-block (pdf2htmlEX #416), so keep normal span inline. / position:relative; unicode-bidi:bidi-override; / For rtl languages, e.g. Hebrew, we don't want the default Unicode behaviour / } ._ { / text shift / / Blink(up to 41)/Webkit have bug with inline element, continuous spaces and word-spacing. Workaround by inline-block. / display: inline-block; color: transparent; z-index: -1; } / selection background should not be opaque, for fallback mode / ::selection{ background: rgba(127,255,255,0.4); } ::-moz-selection{ background: rgba(127,255,255,0.4); } .pi { / info for Javascript / display:none; } .l { / annotation links / } / transparent color - WebKit / .d { / css drawing / position:absolute; transform-origin:0% 100%; -ms-transform-origin:0% 100%; -webkit-transform-origin:0% 100%; } / for the forms / .it { border: none; background-color: rgba(255, 255, 255, 0.0); } .ir:hover { cursor: pointer; } / Base CSS END */ //
    • style (type="text/css"): // /* vim: set shiftwidth=2 tabstop=2 autoindent cindent expandtab filetype=css: / /! * Fancy styles for pdf2htmlEX * Copyright 2012,2013 Lu Wang coolwanglu@gmail.com * https://github.com/coolwanglu/pdf2htmlEX/blob/master/share/LICENSE / @keyframes fadein { from { opacity:0;} to { opacity:1;} } @-webkit-keyframes fadein { from { opacity:0;} to { opacity:1;} } @keyframes swing { 0% { transform: rotate(0deg); } 10% { transform: rotate(0deg); } 90% { transform: rotate(720deg); } 100%{ transform: rotate(720deg); } } @-webkit-keyframes swing { 0% { -webkit-transform: rotate(0deg); } 10% { -webkit-transform: rotate(0deg); } 90% { -webkit-transform: rotate(720deg); } 100%{ -webkit-transform: rotate(720deg); } } @media screen { #sidebar { background-color:#2f3236; / modified from http://philbit.com/svgpatterns/#crossstripes / background-image:url("data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0IiBoZWlnaHQ9IjQiPgo8cmVjdCB3aWR0aD0iNCIgaGVpZ2h0PSI0IiBmaWxsPSIjNDAzYzNmIj48L3JlY3Q+CjxwYXRoIGQ9Ik0wIDBMNCA0Wk00IDBMMCA0WiIgc3Ryb2tlLXdpZHRoPSIxIiBzdHJva2U9IiMxZTI5MmQiPjwvcGF0aD4KPC9zdmc+"); } #outline { font-family:Georgia,Times,"Times New Roman",serif; font-size:13px; margin:2em 1em; } #outline ul { padding:0; } #outline li { list-style-type:none; margin:1em 0; } #outline li > ul { margin-left: 1em; } #outline a, #outline a:visited, #outline a:hover, #outline a:active { line-height:1.2; color:#e8e8e8; text-overflow:ellipsis; white-space:nowrap; text-decoration:none; display:block; overflow:hidden; outline:0; } #outline a:hover { color:rgb(0,204,255); } .pf { margin: 13px auto; box-shadow: 1px 1px 3px 1px #333; / Needed by IE to make box-shadow works * https://developer.mozilla.org/en-US/docs/Web/CSS/box-shadow / border-collapse: separate; } .pc.opened { / used by pdf2htmlEX.js, to show/hide pages / -webkit-animation: fadein 100ms; animation: fadein 100ms; } .loading-indicator.active { / * use 0.01s instead of 0s, * since YUI Compressor will change 0s to 0, * which is not recognized by Firefox / -webkit-animation: swing 1.5s ease-in-out 0.01s infinite alternate none; animation: swing 1.5s ease-in-out 0.01s infinite alternate none; } .checked { background: no-repeat url(data:image/png;base64,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); } } / Fancy CSS END / } .checked { background: no-repeat url(data:image/png;base64,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); } } / Fancy CSS END */ //
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3aNGQv7kGwIURjIOwud7Ny5n4Iln9yAlb8/fQ/s8jbYvbVpWb+6PB6u9mxPXdkiJ+Q/kKcJECeMtuaKcyV5qjNBWwKvU5qUlklrZamFDC/u1qtLGAlhSVF/pJf+fnWYihexdlzHvCs0tXtpeBbb8pxOSmnZL5dBhNnnTjvk/vlo/Ip+YysyhnqMV2u9aOsZi1oO0XbN5ExaHt3Nmfbb5M6gbdtSv5XaHimTA4RtyGLcKiqstDrnzxpituoLB8n5m67hOkPZr+11cpZw1vfutT/ZPr9/c88c5AeAwHzf2Ottp6xegf2vzcAK3O5YeBk5Oz5Ub5OH/mSO9HmCXCrObY63KFtMjaGXtCeD+2d8NegMluC5UG4iUAwHM5AmzlT1b2qqqsY2sV6k36zOldvUxP6FnWLvk3fqe7UP1NPq1nd6FB/oW5TX9c/1r9Sh3W5Vb9Pp6oeDnLwHYRa4qdj95esuoAOYyQDtWYdAQNMiAO3uySkoBf6oB+OwinAxHcbLvXCDsw6n8M5UCBDS81GtqpKbamB/K4VTv+ONb5NPurziR0VsGMRWU022vSqjlW0VyQrUhV9FdLsCqjI0DFmZekO4oSQM+Kc6Yw7k85OZ8rZ6+x3nnJq9mIcp9z5XbVx1kYh25VYh4mlOJE1cuvyo807G5tz+HowlsieG8SF7kRXj7PuGucjxmjiJF2JwqkexKexoQ6q6mhjwwyYPMlfJNcBwuXzFvmLyqjPS8tD07MT/vbA+trWndt6F97f/8Sxb+V/G/ctW3ZfJLJz/6uLvrlkNcNnpdbQyoWTmq9trH/gnXse7l/25fGC1Utvnx6trp7YuOrAY4ety6NYVmAeO5nXphvMawVQ2sqoTJSQGlNNlUkfyveQDyMUXDRIIzRFz1ApRHfRw5TRejTmbG4wrw7ZfNrEdNloJ03YZG1jh6wX+W8vXhyekf/OiIV5fhl+RyGHzA0RaKQR3igisgmzqclnC1PWZCBc4kzqELJXCJkzLrEOCl6KUohPREgS5hmFKJ1aSttta6MM0iFDJEWfOCN4RJgiJfrFUSGJbxQ8toEM6IMzwCNIk1SeGRJ8ww4RCrS+O4tQRXNR7LMlmBLqE6TYVjnMGVeSg4K44FicnxC3LeskgbaFVQiDG/ZZP4BSGAN+KLKaaQe7Lfc+nXV5Z+55jMroyFfsfj4DA7UOSs1mF5H8UpFWkg6nx6XL0xW/HP/4hOOSXiEaxBvFX/i/KDrnP1ck+8Qczw897LgMrnBLOB0+Gebt4dPhkTALhhNhiqFUasbMQDxAaWBmYGPg5cCugBQIlDkKtHjNqZozNay5Btw1ULPYrcOGGAEXCZJ6wlQXASWI0YhgZ+AGc2p72emykTJWVgZli7nsikBdoG27sks5rAwoJ5XTilB+V/ByxBF3pBy9jj6sKI46TjkUR4ZONQu9j+IuA7AlVBWpolV3dnrBewD+ReptiUuczXYZuQQ6NhdFtct1J852dy1NLE0kBmNZTMkxu3xADUbej/I90QVVNsXLwMe8/qLyKicSvdKm/dQpUxvyrAch4+Wz09YMaITxH1Tueu3pF2ZSf9lg2fU9t/zs1zMffqwvVnLj9Bk3QVltYnk4PGfqxOR4+o+6V564/YmDVmZzzy0/aW5+88nWjfHg+NAdU8unWQOe4tJx46ZMn3/jkjUkX5/lazzkpl07tu6xFWeC2YA0krn2oLpbpUxgSEgoZW0Q4SaP8xTv5VKIR3iSd3JuT+xVzg9AIZYBthRF7Sqp6Uqhgbw6/+eJkULUfpavDIeG+D7g1uXhubxy+JOrNQB7CjnjJ4+a5nhvo5eWeNd4N3mf977uPeAV//GCywMOTSz2OAuER3a5dAe01WMOJFBPWkg7SZNdZICcJKcxxDLUafr1NhtEGnREHDSEnYlP3GEfsWhULfOSYXOfxLC8y9r42BxHaMLl7rz/neBDFZzsu4rSU0OBm669bmnl0PGm9OIfb2mkZa+uuO7mx/ZbQV75Ymtrx44X8/7stlawI2iLQUrJRrNxq4DVYrXWgwWBaGNtBcvZ3eJubS3DgBeBxZLs/amuuwynmzqh6M4W5V6lU2FKhk4zyw2nq82AlwiJGBAyIoZpxA0+OiSNTqPXEIZtz1gs7jCaDcy3UZuBttvzWQmv6KgWFo4a4XEbFDlW5S4flcLGBlsKuz+q7Z3/7Ecnnp390MyhwVXzW1Y8GF/QiSYtSFqD1rD1rfXZjXfkvmYH3n3jpb2vv/KSbWMtgrZHInnOzNsj8QxE9hIhH4IIvgT48D2sgzQhZWDiPsboXFXm9hTIHGXR8uJrbjXORuflorca56Pz8NB4WOztw48Wn/m/I7XwuPUGTLBOSGSYNPI+dO1/AbSeNB0AAAB4nGNgZGBgYEpLK7qaXhPPb/OVQZ6DAQSeWLAlwOj///7lsDKwXgZyORiYQKIAW+sMEgAAeJxjYGRgYL38L4eBgSP7/7///1gZGIAiyIBpNgCqRQdUAAAAeJzVVj1oVEEQ3tu3712qVEaQw85UKiIWIiiIpDhERAs7Ca8IQRAbmyOIiJXIEa4TCRZWIcSAIiIpDhEsgogECadFSrEyigRJYaF+szO7O+8lh9d6MHy3szv/s7PPbpkpg59dNqax4WnO9Y1xpbnlrLmbd0wnb5nzWJ/B+pAr//zOFs1pf86aDugm1saRjmNAyPr1COheCo55e8z/B8IXA5u70OtRKLEMpXyO9RHROviVLSV5jfae4MpuWwHza8BXe/un/bTze2A9Xiv5BGaTaj3E9jAsjottpTdrJ/Txfeb6FT2cHShfa74E8j4D8wXQNs5MAGchvx94J+XT53Rb6lwmv0h/PAM+eoz/nxLbws9+JD/yacGLoHMiX3LvZAdTrbIP0k9W6vmL9zMnvK6cW1L5ANotqVMBHAePankb/O+i8zlwDYh48q6yZRmJ5/1bl5iXeR36jWw0jyJH8CcPNdoHWpV4V1W+VkQXbLuW7K2KzKOUL50rp3TmD4X3js8XWBfPwH8B7Iou+Fe8UfdxnPNmSc9h4VH+plQ+27znNvF/R3gB6exJuaNBJ9Vmnf3N72P9Frgp/MfcP9mG6rE+88OdDFRc5T4LPnhbO3yWZEKP1zH0L/U19bfX15N+mZZ+XpDaPMW5y/iPPmhewv57nhGa4LbXU0eiJt2bNY6HZDOsnVD+BPiN8b8jFYf9yERxN79WyQ2q5M+hV8auY/8KcmuY3FnoBLnXoAmZO1ybI0ZqRHXxd1bms/ehz7WLc2iecxzOhzs2CgUdJB/Iz8rZNLfiTJc7FvTHvVLdP1lT34U5F3yKdhbVPNdzR3hxfknv54PE97HW5Ml2jKnNZxqfUl4qcZTVeTFqnur3MLyFo5CXP1HL+4UUe+iTQtXUzcgb1OJZRetAXg6zLPspc+wB8y1ybm+ASHayljfJfZQnXV+SP2RL19TPjh7XMe630zvp459hH8Jb3ThQ7Skdf5z9bZlBelaX1fchfpe0Eukahl4aheJ3S+3Np/6I74T63vD7cg+0Hj37aGaH74KK7tp33TCfSOYvB25S5gAAAHicY2Bg0IFCP4Y7jBaMcUw2TNuY5zBfYHFjlWNNYD3GZjEKR+EoxAtLRuHIggAcI95+AAAAAQAAApsALwACAAAAAAACABAALwBAAAAEVwGFAAAAAHicrZJPTtwwFMY/h4FRparqji7fHhHCSJXYBhaISrAYBpCQurCImXEJ8cjxgOgxOEJ3SL0ASN32AL1Fe4Su+tnjLrupJlH8fu+vX54N4C2+Q2H5vEebWWETPzIXGOJ35jVsqlHmAflz5nW8Vl8zb9D+M/MQH4tvzFKDV9Q+pQqRFUp8yVzgDX5lXkOpiswD8ofM63inHjNv0P6ceYiXQuEJghEqvnukCWYwlMdw6PgFPGCeLAfUPDmumnabIkp6av55Szmmbcr8gD5phtIw+o5rw0g8yaiq9mQyM3LsOhce5kYOnJ87r4N1XSl128rYTmehl7Hpjb8zDdNqdnWBQ1ziCFvUPPfR3PGEq+frcI9t7FO23Af15OLw8mir9la3J9p7d7+971o6YkdTLBgV8zA200Wr/erqr6rOeZpanycs2OXsKkqcG99zTrJbVrLKtv9mCmU8Os0vpGNu2MptqndDm8P1f1yRWLVLFZd5Z9QstXgpBKcknbTlzh2tO6mCpNqzNAzBFbUFvSF1G6PjzYg/I7YXLcHrxtxqfyPu+p83TGwngb6zzgbTyGnQwTC5a3acF0ePlyu36IK3pi/xB5tOw3QAeJxtlwd429YVhXnPFUmLkuI4e+89hYdBMluWZVuObTm2FcfOhEiIhM1lDst29uzebTrSvffebbrSvfdI9957N01TkHh4l+lXfZ95Dwjg/Pc+AAd0CqnB38MPpe5N/Z8/3Bd9UAopTq1InZI6I3V+ajKlUl4qn7ootSq1PnVFakvq/tSDqQcIxDRCacpQlpbRKOVojMZpgg4gouV0IK2gg+hgOoQOpcPocDqCjqSj6Gg6ho6l4+h4OoFOpJPoZDqFTqXT6HQ6g86ks+hsOofOpfPofJokixTZ5JBLHuWpQEW6gC6ki+hiuoQupctoilbSNK2iGVpNa2gtzdI6upzW0wbaSHO0ia6gzbSFttI8XUnb6CraTjvoarqGrqXr6Hq6gXxaoBKVKaBFqlCVQtpJu6hGdWpQk1q0m9rUoS71aA8t0V7aR/vpRrqJbqZb6Fa6jW6nO+hOuovupnvoMfRYehw9np5AT6Qn0ZPpKfRUeho9nZ5Bz6Rn0b30bHoOPZeeR/fR8+kF9EJ6Eb2YXkIvpZfRy+kV9Ep6Fb2aXkOvpdfR6+kN9EZ6E705dR+9hd5Kb6O30zvonfQueje9h95L76P30/30AfogfYg+TB+hB+ij9DH6OH2CPkmfok/TZ+iz9Dn6PH2Bvkhfoi/TV+ir9DX6On2Dvknfogfp2/Qd+i59j75PP6Af0o/ox/QT+in9jH5Ov6Bf0q/o1/Qb+i39jn5Pf6A/0p/oz/QX+iv9jf5O/6B/0r/oIfo3PUz/oUeQAgFgjCCNDLJYhlHkMIZxTOAALMeBWIGDcDAOwaE4DIfjCByJo3A0jsGxOA7H4wSciJNwMk7BqTgNp+MMnImzcDbOwbk4D+djEhYUbDhw4SGPAoq4ABfiIlyMS3ApLsMUVmIaqzCD1ViDtZjFOlyO9diAjZjDJlyBzdiCrZjHldiGq7AdO3A1rsG1uA7X4wb4WEAJZQRYRAVVhNiJXaihjgaaaGE32uigix72YAl7sQ/7cSNuws24BbfiNtyOO3An7sLduAePwWPxODweT8AT8SQ8GU/BU/E0PB3PwDPxLNyLZ+M5eC6eh/vwfLwAL8SL8GK8BC/Fy/ByvAKvxKvwarwGr8Xr8Hq8AW/Em/BmvAVvxdvwdrwD78S78G68B+/F+/B+3I8P4IP4ED6Mj+ABfBQfw8fxCXwSn8Kn8Rl8Fp/D5/EFfBFfwpfxFXwVX8PX8Q18E9/Cg/g2voPv4nv4Pn6AH+JH+DF+gp/iZ/g5foFf4lf4NX6D3+J3+D3+gD/iT/gz/oK/4m/4O/6Bf+JfeAj/xsP4Dx7hFBODmUc4zRnO8jIe5RyP8ThP8AG8nA/kFXwQH8yH8KF8GB/OR/CRfBQfzcfwsXwcH88n8Il8Ep/Mp/CpfBqfzmfwmXwWn83n8Ll8Hp/Pk2yxYpsddtnjPBe4yBfwhXwRX8yX8KV8GU/xSp7mVTzDq3kNr+VZXseX83rewBt5jjfxFbyZt/BWnucreRtfxdt5B1/N1/C1fB1fzzewzwtc4jIHvMgVrnLIO3kX17jODW5yi3dzmzvc5R7v4SXey/t4P9/IN/HNfAvfyrfx7XwH38l38d18T3aq7pfazUbWj2tmaqEd7Aky/qBkp5qVZiPYlfXjOjZdCtulXn2xFuwdK4nOTZebXb9UChrdXMnIzKqS37csx2VV5O93szMaGGjgTAwMBiU3I0aBkdkZ3UYQ18xM7BgMytiaoaYqQ02tEa+KePUa4aSllK722Nqhs6uiR9Yu+O2RavSRme2GtXKQCQclO6v7D3X/s3H/Ybxgs7rTMK6YXYdw59i6IcZO0XEPtqdrfnxXpR0EjZrfKIelzHq/1OsGmdqg6ENW6jqdWR8vQW1QRtZH843Uoo/MxvisxtBZjqurl9kYn9WIF67ht5qdbrvZqgY806hw0Khk5/R4TT3eXDxec1Am5qq9RsVv9+o1v9edaA5vZTbH5PYQ2dWjufnM5pjcjsuW+NjOoIxtGVqezv8uj6cvlWdntsYnd+OZt/YvULd/gebjC9SLL9C8nqCnJ5iPJ+gNSnq+HTYq6V7/c2L+UdP0hrey8/pC9vSdv22ox6UhvX1I7xOd2RFPuH9QcjvkVtxvZLrWbFQ6ual+L/FhvpHZqZm4+kG8RnOdmt+pxroperA2yiroWtR1SteV6W6z0exMlMOgHXTCzmArN1VrVf2BHPUbzW5QC0J/fKbVCaOGBl8vm+nq/bNNrcbn6mF/OeON+aGDc3P1oBIftCKMDn8UKz1gjawMun56jV+v+4PG7KKT1byRHdEujnjprdVIjfSB6cv9VsuPHoD6QtnHhh429nBVmNUdYFPIm6vN9JawUvd5q9/L6m54UzXk6ejfpk4YY6aK47NDHS3XBybbOd8sxHgwPH6QjB8m4x/Se/Sp8XCD80cW+sNV+sOly0Gt62e118j+/mj9nd3BaH2z9K7BaLXBaHGTK6fR6GFvGD1yg/m4XW1mOv3hrPSgcDeaUfO5Fc1Xiv5Fm+lmf+HHh9d8+f+0Od4cvmq94avWNFdt0IYzaemqdLV1dXR1dfV0zeta0LWo65SuK3Wd1nVG19VxtSZ11VxLcy3NtTTX0lxLcy3N1fe8o+95R9/zjqW5luZaq3TVfEvzleYrzdevBEdpvtJ8pflK85XmK81Xmq80X2m+0nyl+Urzlebbmm9rvq35tubbmm9rvn5NOLbm25pva76t+fod4diab2u+rfm25jua72i+o/mO5juar98ejqP5juY7mu9ovqP5juY7mu9ovqP5jua7mutqrqu5rua6mqvfIY6rua7muprraq6rua7muprnal5Rz1u0MtsqbT96IyzFZVuc1EuDMroteXRGlxKV2R4fuG9Q+i4qeqVN9BrloN0pNdtBeaE2sbsXBWn/DdPuBOVMPWwM3m9BKXoWR4O9peiBj46Kz42vhJrMrx6phW0/0wo6UTwMvrPip0xZ8VMQVW806HSj3xrdoDwavYiCsFLtVse71eiHQqw7Y4vhnkSPd6IOGnpj1G+3m0u1YLGbHaheKzeo7f7ueGe5udSI1UKzWx3Vh5Ub40YtdIJcs92t9l+Dfm08bHT7E5a6YfT7IdjdC/f4taBRCtLVZq8TTEQLUGtWwpJfi94ruf7B0ZrVui0jF7rLtqy2Jvt/fWFpMWmEnQiVCCcRhUQUE+ElIp8IVwsn8VHJ6W6CcBNnO/FRyTcqOUYlPm7SqpMcbCdtKCMSukr6sY1IdjkJwjLQxFklrTrm4MTZSfpxzFyJs5Oc7poBjc/gm+iNsVBrlnZlo2vYr+l4q7YY13ZXb3ejXxLlID34zJZ3DeroYlirRbd1c29mbbQ4eTuz1iq4TlxcKxfvbke3QbbbDv1KrxXXtt4uN+JaW8z0fxLVgsGJtj0aNvYs9KJzu30V78o1W0FDf9mph9Ht6peC6D7bYza402tkFqP/L9SCkf5HutOKehwp1XoL6WrgR9By6NejB22s3uvoey84YEhHT96yjX492BCcN5kIKxEqEU4i3ER4icgnopCI4mjiM2mUZZQyyjbKMco1yjOqYJRxVsZZGWdlnJVxVsZZGWdlnFXeKMNQhmEbhm0YtmHYhmEbhm0YtnG2jbNtnB3j5xg/x/g5xs8xfo7p2TEurnFxjYtrXFxzhmt6cU0vrnHxjItnXDzj4plePNOLZ5w94+wZv7xZtbxxzhvnvHHOG+e8cc4bv7zpNG+cC8a5YPwKxqVgXAqmv4LxKxi/gvErGr+i6bRonIum06JhFA2jaBhFwygaRrGYM0/ApEhLpBJpi3REuiI9kXmRBZFCs4RmCc0SmiU0S2iW0CyhWUKzhGYJTQlNCU0JTQlNCU0JTQlNCU0JTQnNFpotNFtottBsodlCs4VmC80Wmi00R2iO0ByhOUJzhOYIzRGaIzRHaI7QXKG5QnOF5grNFZorNFdortBcoblC84TmCc0Tmic0T2ie0DyheULzhOYJLS+0vNDyQssLLS+0vNDyQssLLS+0vNAKQisIrSC0gtAKQisIrSC0gtAKQisIrSi0otCKQisKrSi0otCKQisKrSg0yRIlWaIkS5RkiZIsUZIlSrJESZYoyRIlWaIkS5RkiZIsUZIlSrJESZYoyRIlWaIkS5RkiZIsUZIlSrJESZYoyRIlWaIkS5RkiZIsUZIlSrJESZYoyRIlWaIkS5RkiZIsUZIlSrJESZYoyRIlWaIkS5RkiZIsUZIlSrJESZYoyRIlWaIkS5RkiZIsUZIlSrJESZYo111Wqe1rVZ2ikwj9jec6iTDfeInIa+HZ/wXOlSiMAAAAeJyNVm1MW9cZPud++F5zSe1QuDMhcC/xsiRFSVCFtmbRxgVsw+ZNoeDMNg7M0FHopAki8DSMZvlPuqSoszukTUm3wj5a2FqJ60u72JANb9KqNdMGy35kUhTgR6et2w9Q1+5Lk9hzLh/5KJt20fOec97neZ/33ON7r2jaInPcBWIC6wBPCCIlo1wM0c19hhhAGuDJNOI6wBGd+zSpB4aBNFAEVgAHMudQl+aeRIwjTgMrAI9VO3JFxE2Ag28HaQc4dGmDYxtmBHF3lQaywDTggLINDm3wf5ApApuAjLpW1LViX63wbsUdtYJtRW0cMQ1kgekdRkSv1gdqhL2KFWAd2LR17YjMYfghFweqAugUABsAGwAbABMAQxB14GGFA94BeAfgHbDP5F5lFjCB4p6D+yGXdpvZ1U7vaO93lGz9rpa5C/BvxrnriHGAraYBE9gEHE0ecC3gWsC1gGtBzW6GrdbtjJvmiA7U05yh8PpY/ZgxNjwmDC/QGEnTmKFyJJlOciScDnNOkqBnNhPUeUDJy8TSnGwwXtSIy+3SXfUu4UzWNe0yXUXXimvdtemSnC6q0dO0kQpnpugcXaLLdI1u0C0KRtTE02KjCEacE5fEZXFN3BC3RDC8xp/mG3kw/By/xC/za/wGv8VLTqK4FV2pVwSXpEmnpUYJDZVpxVSKyoqyrmwq0pQ0Jy1Jy9KatCFtSZKR53RjnpKMO6Nn6jNGpj0Tzwxn0plspiSe2cxw29liZiWzjqWk36y/WbzJTwgT4qKwKApVQpUYFIKicFY4K74qvCoK57QpjXNpmsadq5mq4Vw1Wg3ndNW4NE4eqqSNlUYlRyrdldyQhzZ6DA9HPG4Pzs1DKiGoyFZwjRVGBUcq3BXcUHm2nGssN8o5Uu4uh6icVHCy+bRDM59e3HoPT4RK37RuS1qevml86HanpJ6Pe7Tz8YMelQQChJCyg7KxSO9i5qSvWak6CGetVBzDjJVa1ZoU+j0ywF0jGv0uDQk/JDMwvEZD1rdUtUCvbk/ytMdKqSiJWamTGCJW6llW+TmSEhtQ2U5D3BiJojKIgjUdlZ+iIcP5VrX679Rx7Z+xG6wB+QcN0WPXH1P/kGrR3k41ldAbSK7QkLODfpaoZBkud60B9dcF6K5ZH1d/laeh+fe86k02/vyw+laemWYr1EXcRmHH9DrELdYp9Q2Qr79+SH25Ny82WNoPYos2/X1ksY0p1k7B+iUaKnsNjEq+g3bnrZD6bVb4e019AZLjL+F+VJIFxYoz8B6yGtQrP93b5NeQmrM+oaaxSf6G9az6VXDSV+CtkjEacjRYq+owUkc/bzt9iTlZ2jOpJrd9xq+QhD2+TLqOB5mCTpEwjDUatRIz2k8wDXOl5BwI/3x4rgpHr1mJJa3JTatJl/gzsgTmMEq+QD6KWRVmp8gpzA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            • span (class="_ _1") średnio wpłynęły na sytuację finanso
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            • span (class="_ _4") Grupę
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            • span (class="_ _1") ieżący okres s
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          • div (class="t m0 x3 h6 y42 ff5 fs1 fc0 sc0 ls4 ws4") najbardziej
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            • span (class="_ _0") ryzyka. Nie
            • span (class="_ _0") wyrażamy
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            • span (class="_ _3") sekcji
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            • span (class="_ _1") naszym spraw
            • span (class="_ _1") ozdaniu.
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          • div (class="t m0 x3 ha y4a ff1 fs4 fc0 sc0 ls0 ws0")
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              • span (class="_ _1") awa badania
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            • div (class="t m0 xa h5 y4c ff3 fs1 fc0 sc0 ls4 ws4") Jak
              • span (class="ls2 ws2") nasze badanie odniosło
                • span (class="_ _1") się do tej sprawy
                • span (class="ff2 ls0 ws0")
          • div (class="t m0 x3 hc y4d ff3 fs0 fc0 sc0 lsb wsd") Utrata wartości
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            • span (class="_ _4") aktywów
            • span (class="_ _4") trwałych
            • span (class="_ _4") oraz
          • div (class="t m0 x3 hc y4e ff3 fs0 fc0 sc0 lsb wsd") kosztów prac rozwojowych
            • span (class="ff2 ls0 ws0")
          • div (class="t m0 x3 h9 y4f ff5 fs0 fc0 sc0 lsc wse") W
            • span (class="_ _2")
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              • span (class="_ _2") sytuacji
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            • span (class="_ _11") dzień
            • span (class="_ _11") 31
            • span (class="_ _11") grudnia
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          • div (class="t m0 x3 h9 y51 ff5 fs0 fc0 sc0 lsb wsd") dominującej
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            • span (class="_ _12") aktywach
            • span (class="_ _13") zaprezentował
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          • div (class="t m0 x3 h9 y52 ff5 fs0 fc0 sc0 lsb wsd") niematerialne
            • span (class="_ _4") i
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          • div (class="t m0 x3 h9 y53 ff5 fs0 fc0 sc0 lsb wsd") łącznej
            • span (class="_ _14") wartości
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            • span (class="_ _0") ln
            • span (class="_ _14") zł.,
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              • span (class="_ _a") sum
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          • div (class="t m0 x3 h9 y54 ff5 fs0 fc0 sc0 lsb wsd") bilansowej.
            • span (class="ff1 ls0 ws0")
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            • span (class="_ _5") Spółkę
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          • div (class="t m0 x3 h9 y56 ff5 fs0 fc0 sc0 lsb wsd") wartości
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            • span (class="_ _15") wykazywane
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            • span (class="_ _15") cenie
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          • div (class="t m0 x3 h9 y58 ff5 fs0 fc0 sc0 lsb wsd") wytworzenia
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            • span (class="_ _6") odpisy
            • span (class="_ _6") z
            • span (class="_ _6") tytułu
            • span (class="_ _6") utraty
          • div (class="t m0 x3 h9 y59 ff5 fs0 fc0 sc0 ls0 ws0") wartości.
            • span (class="_ _5") Ocena,
            • span (class="_ _5") czy
            • span (class="_ _5") wystąpiły
            • span (class="_ _5") pr
            • span (class="_ _0") zesłanki
            • span (class="_ _5") utraty
            • span (class="_ _5") wartości
          • div (class="t m0 x3 h9 y5a ff5 fs0 fc0 sc0 lsb wsd") tych
            • span (class="_ _10") aktywów
            • span (class="_ _10") oraz
            • span (class="_ _f") oszacowanie
            • span (class="_ _f") wartości
            • span (class="_ _10") odpisów
          • div (class="t m0 x3 h9 y5b ff5 fs0 fc0 sc0 lsb wsd") aktualizujących
            • span (class="_ _3") ustalane
            • span (class="_ _3") są
            • span (class="_ _3") zgo
            • span (class="_ _0") dnie
            • span (class="_ _3") z
            • span (class="_ _3") wymogami
            • span (class="_ _4") MSR
          • div (class="t m0 x3 h9 y5c ff5 fs0 fc0 sc0 lse ws10") 36 Utrata wartości aktywów.
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h9 y5d ff5 fs0 fc0 sc0 lsb wsd") Szacunki
            • span (class="_ _14") dotyczące
            • span (class="_ _14") oceny
            • span (class="_ _14") przesłanek
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            • span (class="_ _1") artości
          • div (class="t m0 x3 h9 y5e ff5 fs0 fc0 sc0 lsb wsd") w/w
            • span (class="_ _0") aktywów
            • span (class="_ _5") jak
            • span (class="_ _5") również
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            • span (class="_ _5") wartości
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          • div (class="t m0 x3 h9 y5f ff5 fs0 fc0 sc0 lsb wsd") aktualizujących
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            • div (class="t m0 xa h9 y61 ff5 fs0 fc0 sc0 lsb wsd") oceny
              • span (class="_ _7") Zarządu
              • span (class="_ _3") Spółki
              • span (class="_ _7") dominującej
              • span (class="_ _3")
              • span (class="ls0 ws0") zdarzeń
                • span (class="_ _3") przyszłych
                • span (class="_ _7") i
          • div (class="t m0 xc h2 y4d ff1 fs0 fc0 sc0 ls0 ws0")
          • div (class="t m0 xc h9 y62 ff5 fs0 fc0 sc0 lsb wsd") Nasze procedury badania, obejmowały między innymi:
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h9 y63 ff1 fs0 fc0 sc0 ls0 ws0")

            • span (class="_ _14")
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              • span (class="_ _1") e
              • span (class="_ _14") i
              • span (class="_ _1")
              • span (class="_ _14") oc
              • span (class="_ _1") enę
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              • span (class="_ _1") raty
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              • span (class="_ _1") artości
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          • div (class="t m0 xc h9 y64 ff5 fs0 fc0 sc0 lsb wsd") niematerialnych
            • span (class="_ _2") i
            • span (class="_ _7") prawnych
            • span (class="_ _2") or
            • span (class="_ _0") az
            • span (class="_ _2") rzeczowych
            • span (class="_ _7") aktywów
            • span (class="_ _2") trwałych
            • span (class="_ _7")
            • span (class="_ _7") i
          • div (class="t m0 xc h9 y65 ff5 fs0 fc0 sc0 lsb wsd") ich zgodności z postanowieniami MSR 36;
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h9 y66 ff1 fs0 fc0 sc0 ls0 ws0")

            • span (class="_ _0")
            • span (class="ff5 lsb wsd") ocenę
              • span (class="_ _0") zgodności stosowanej
              • span (class="_ _0") pr
              • span (class="_ _0") zez Grupę
            • span (class="_ _0")
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              • span (class="_ _0") rachunkowości
          • div (class="t m0 xc h9 y67 ff5 fs0 fc0 sc0 lsb wsd") w
            • span (class="_ _14") zakresie
            • span (class="_ _a") wyceny
            • span (class="_ _a") wartości
            • span (class="_ _a") niematerialnych
            • span (class="_ _a") i
            • span (class="_ _a") prawnych
            • span (class="_ _14") oraz
            • span (class="_ _0")
          • div (class="t m0 xc h9 y68 ff5 fs0 fc0 sc0 ls0 ws0") rzeczowych
            • span (class="_ _f") aktywów
            • span (class="_ _f") trwałych
            • span (class="_ _0")
            • span (class="_ _f") z
            • span (class="_ _10") zasada
            • span (class="_ _0") mi
            • span (class="_ _f") wynikającymi
            • span (class="_ _f") z
          • div (class="t m0 xc h9 y69 ff5 fs0 fc0 sc0 lsb wsd") odpowiednich standardów sprawozdawczości
            • span (class="_ _1") finansowej;
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h9 y6a ff1 fs0 fc0 sc0 ls0 ws0")

            • span (class="_ _17")
            • span (class="ff5 lsb wsd") identyfikację,
              • span (class="_ _17") zrozumienie
              • span (class="_ _17") i
              • span (class="_ _17") o
              • span (class="_ _0") cenę
              • span (class="_ _17") procesu
              • span (class="_ _17") testowania
              • span (class="_ _17") utraty
          • div (class="t m0 xc h9 y6b ff5 fs0 fc0 sc0 lsb wsd") wartości
            • span (class="_ _17") wartości niematerialny
            • span (class="_ _0") ch
            • span (class="_ _17") i
            • span (class="_ _17") prawnych oraz
            • span (class="_ _17") rzeczowych
          • div (class="t m0 xc h9 y6c ff5 fs0 fc0 sc0 lsb wsd") aktywów trwałych oraz kontroli wewnętrznej w tym zakresi
            • span (class="_ _1") e;
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h9 y6d ff1 fs0 fc0 sc0 ls0 ws0")

            • span (class="ff5 lsb wsd") ocenę
              • span (class="_ _b") dokonanej
              • span (class="_ _b") pr
              • span (class="_ _0") zez
              • span (class="_ _b") Zar
              • span (class="_ _0") ząd
              • span (class="_ _b") Spółki
            • span (class="_ _b")
            • span (class="ff5 lsb wsd") dominują
              • span (class="_ _0") cej
            • span (class="_ _b")
            • span (class="ff5 lsb wsd"): analizy
          • div (class="t m0 xc h9 y6e ff5 fs0 fc0 sc0 lsb wsd") wystąpienia przesłanek utraty wartości w/w aktywów;
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h9 y6f ff1 fs0 fc0 sc0 ls0 ws0")

            • span (class="ff5 lsb wsd") ocenę
              • span (class="_ _b") przyjętych
              • span (class="_ _6") pr
              • span (class="_ _0") zez
              • span (class="_ _b") Zarząd
              • span (class="_ _b") S
              • span (class="_ _1") półki
              • span (class="ff1 ls0 ws0")
                • span (class="_ _b") dominuj
              • span (class="_ _1") ącej
              • span (class="ff1 ls0 ws0")
                • span (class="_ _b") założeń
          • div (class="t m0 xc h9 y70 ff5 fs0 fc0 sc0 lsb wsd") zastosowanych
            • span (class="_ _0") w
            • span (class="_ _0") modelu
            • span (class="_ _5") testu
            • span (class="_ _0") na
            • span (class="_ _5") utratę
            • span (class="_ _0") wartości,
            • span (class="_ _0") w
            • span (class="_ _5") tym
            • span (class="_ _0") przyjętej
          • div (class="t m0 xc h9 y71 ff5 fs0 fc0 sc0 lsb wsd") stopy
            • span (class="_ _5") WACC
            • span (class="_ _2") oraz
            • span (class="_ _2") weryfikację
            • span (class="_ _2") kl
            • span (class="_ _0") uczowych
            • span (class="_ _5") założeń
            • span (class="_ _2") i
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          • div (class="t m0 x1 h9 y1 ff5 fs0 fc0 sc0 ls0 ws0") 3
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              • span (class="_ _17") związku
              • span (class="_ _14") z
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            • span (class="_ _7") ze
            • span (class="_ _7") względu
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            • span (class="_ _2") warunki
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            • span (class="_ _0") względu na
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            • span (class="_ _0") realizacji istotn
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            • span (class="_ _17") prawnych or
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            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h9 y7c ff5 fs0 fc0 sc0 lsb wsd") Zasady
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            • span (class="_ _7") dotyczące
            • span (class="_ _2") testów
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            • span (class="_ _0") tym
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            • span (class="_ _0") rzyjętych założeń
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            • span (class="_ _13") ich
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            • span (class="_ _0") yników,
            • span (class="_ _13") Zarząd
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            • span (class="ff4 ls0 ws11") Z
              • span (class="_ _0") asady wyceny i
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            • span (class="_ _a") i
            • span (class="_ _e") pas
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            • span (class="_ _0") iku
          • div (class="t m0 x3 h9 y81 ff8 fs0 fc0 sc0 lsb wsd") finansowego
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          • div (class="t m0 x3 h2 y82 ff8 fs0 fc0 sc0 ls0 ws0") wartość aktywów
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            • span (class="ff5 lsb wsd") weryfikację
              • span (class="_ _1b") poprawności
              • span (class="_ _1b") matematycznej
              • span (class="_ _1b") modelu
          • div (class="t m0 xc h9 y86 ff5 fs0 fc0 sc0 lsb wsd") zdyskontowanych przepływów pieniężnych (DCF);
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            • span (class="ff5 lsb wsd") ocenę
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            • span (class="ff5 lsb wsd"): skonsolidowanym
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          • div (class="t m0 xe h3 y89 ff1 fs1 fc0 sc0 ls0 ws0")
          • div (class="t m0 x3 h5 y8a ff3 fs1 fc0 sc0 ls2 ws2") Rozpoznawanie przychodów
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            • span (class="_ _0") postanowieniami MSSF 15
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            • span (class="ls6 ws8"): Przychody z
          • div (class="t m0 x3 h6 y8f ff5 fs1 fc0 sc0 ls4 ws4") umów
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            • span (class="_ _f") klientami,
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            • span (class="_ _1")
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            • span (class="_ _a") towarów
            • span (class="_ _14") i
            • span (class="_ _1a") usług
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            • span (class="_ _a") (VAT)
            • span (class="_ _a") oraz
            • span (class="_ _14") rabaty.
          • div (class="t m0 x3 h6 y93 ff5 fs1 fc0 sc0 ls4 ws4") Grupa
            • span (class="ff1 ls0 ws0")
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            • span (class="_ _a") wyrobów
            • span (class="_ _1")
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            • span (class="_ _1") zychodu
            • span (class="_ _1")
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            • span (class="_ _a") momencie
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          • div (class="t m0 x3 h6 y96 ff5 fs1 fc0 sc0 ls4 ws4") klienta.
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            • span (class="_ _1") h
          • div (class="t m0 x3 h6 y97 ff5 fs1 fc0 sc0 ls4 ws4") ujmowane są w m
            • span (class="_ _1") iarę upływu
            • span (class="_ _1") czasu.
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            • span (class="_ _5") przypadku
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            • span (class="_ _f") miarę
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            • span (class="_ _5") według
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          • div (class="t m0 x3 h6 y9b ff5 fs1 fc0 sc0 ls4 ws4") zaawansowania
            • span (class="_ _14") udziału
            • span (class="_ _1a") kosztów
            • span (class="_ _a") poniesionych
            • span (class="_ _a") w
          • div (class="t m0 x3 h6 y9c ff5 fs1 fc0 sc0 ls4 ws4") całkowitych pla
            • span (class="_ _1") nowanych k
            • span (class="_ _1") osztach.
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 y9d ff5 fs1 fc0 sc0 ls4 ws4") Przychody
            • span (class="_ _4") z
            • span (class="_ _0") umów
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            • span (class="_ _1") lientami
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            • span (class="_ _4") jeden z
          • div (class="t m0 x3 h6 y9e ff5 fs1 fc0 sc0 ls6 ws8") kluczow
            • span (class="_ _1") ych
            • span (class="_ _13") wskaźnik
            • span (class="_ _1") ów
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            • span (class="_ _13") oceny
            • span (class="_ _13") wyników
            • span (class="_ _1")
          • div (class="t m0 x3 h6 y9f ff5 fs1 fc0 sc0 ls6 ws8") działalno
            • span (class="_ _1") ści
            • span (class="_ _11")
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              • span (class="_ _0") rupy
              • span (class="_ _0")
              • span (class="ls4 ws4") ,
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                • span (class="_ _20") tak
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                • span (class="_ _20") są
                • span (class="_ _11") przedmiotem
                • span (class="_ _1")
          • div (class="t m0 x3 h6 ya0 ff5 fs1 fc0 sc0 ls4 ws4") zainteresowan
            • span (class="_ _1") ia
            • span (class="_ _6") analityków
            • span (class="_ _e") oraz
            • span (class="_ _6") inwestorów,
            • span (class="_ _1")
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          • div (class="t m0 x3 h6 ya1 ff5 fs1 fc0 sc0 ls4 ws4") znacząco
            • span (class="_ _3") zwiększa
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            • span (class="_ _4") ujęcia
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          • div (class="t m0 x3 h6 ya2 ff5 fs1 fc0 sc0 ls4 ws4") przychodów
            • span (class="_ _21") w
            • span (class="_ _21") sprawozda
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            • span (class="_ _21") całkowitych
          • div (class="t m0 x3 h6 ya3 ff5 fs1 fc0 sc0 ls4 ws4") dochodów
            • span (class="_ _14") poprzez
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            • span (class="_ _a") zawyżenie
            • span (class="_ _1")
            • span (class="_ _a") lub
            • span (class="_ _a") zaniżenie.
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          • div (class="t m0 x3 h6 ya4 ff5 fs1 fc0 sc0 ls4 ws4") Dodatkowo
            • span (class="_ _e") rozpo
            • span (class="_ _1") znawanie
            • span (class="_ _1a") przychodów
            • span (class="_ _e") w
            • span (class="_ _e") miarę
          • div (class="t m0 x3 h6 ya5 ff5 fs1 fc0 sc0 ls4 ws4") upływu czasu wymaga od Zarządu zast
            • span (class="_ _1") osowania
            • span (class="_ _1")
          • div (class="t m0 x3 h6 ya6 ff5 fs1 fc0 sc0 ls4 ws4") profesjonalne
            • span (class="_ _1") go
            • span (class="_ _2") osądu
            • span (class="_ _2") i
            • span (class="_ _2") szacunków
            • span (class="_ _5") według
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            • span (class="_ _7") dzień
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            • span (class="_ _2") finansowego,
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          • div (class="t m0 x3 h6 ya8 ff5 fs1 fc0 sc0 ls6 ws8") w
            • span (class="_ _f") tym
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            • span (class="_ _f") odnie
            • span (class="_ _1") sieniu
            • span (class="ff1 ls0 ws0")
              • span (class="_ _10")
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              • span (class="_ _f") stopnia
              • span (class="_ _f") całkowitego
              • span (class="_ _1")
          • div (class="t m0 x3 h6 ya9 ff5 fs1 fc0 sc0 ls4 ws4") spełnienia
            • span (class="_ _1a") zobowiązań
            • span (class="_ _e") do
            • span (class="_ _e") wykonania
            • span (class="_ _1a") świadczeń
          • div (class="t m0 x3 h6 yaa ff5 fs1 fc0 sc0 ls4 ws4") określonych
            • span (class="_ _b") u
            • span (class="_ _1") mów,
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            • span (class="_ _1") ych
            • span (class="_ _b") kosztów
            • span (class="_ _b") umów
            • span (class="_ _1") ,
            • span (class="_ _1")
          • div (class="t m0 x3 h6 yab ff5 fs1 fc0 sc0 ls4 ws4") uwzględniają
            • span (class="_ _1") cych
            • span (class="_ _8") wszystkie
            • span (class="_ _1")
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            • span (class="_ _b") szacunki
          • div (class="t m0 x3 h6 yac ff5 fs1 fc0 sc0 ls6 ws8") dotyczące
            • span (class="_ _1") zide
            • span (class="_ _1") ntyfikow
            • span (class="_ _1") anych
            • span (class="_ _1") ryzy
            • span (class="_ _1") k.
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 yad ff5 fs1 fc0 sc0 ls4 ws4") Mając
            • span (class="_ _7") na
            • span (class="_ _3") uwadze
            • span (class="_ _3") powyżs
            • span (class="_ _1") ze,
            • span (class="_ _7") uz
            • span (class="_ _0") naliśmy,
            • span (class="_ _7") że
            • span (class="_ _3") jest
            • span (class="_ _3") to
          • div (class="t m0 x3 h6 yae ff5 fs1 fc0 sc0 ls4 ws4") kluczowa spraw
            • span (class="_ _1") a badania.
            • span (class="_ _1")
            • span (class="ff1 ls0 ws0")
          • div (class="c x9 yaf w3 h10")
            • div (class="t m0 xa h6 y4c ff5 fs1 fc0 sc0 ls6 ws8") Zasady
              • span (class="_ _11") rachunkowo
              • span (class="_ _1") ści
              • span (class="_ _20") w
              • span (class="_ _11") zakresie
              • span (class="_ _20") wycen
              • span (class="_ _1") y
              • span (class="_ _20") i
              • span (class="_ _1")
          • div (class="t m0 xc h3 y8a ff1 fs1 fc0 sc0 ls0 ws0")
          • div (class="t m0 xc h6 y8b ff5 fs1 fc0 sc0 ls4 ws4") Nasze procedur
            • span (class="_ _1") y obejmowa
            • span (class="_ _1") ły m.in.:
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h6 yb0 ff1 fs1 fc0 sc0 ls0 ws0")

            • span (class="_ _15")
            • span (class="ff5 ls4 ws4") analizę
              • span (class="_ _15") i
              • span (class="_ _15") ocenę
              • span (class="_ _16") polity
              • span (class="_ _1") ki
              • span (class="_ _15") rachunkowoś
              • span (class="_ _1") ci
              • span (class="_ _15") Jednostki
          • div (class="t m0 xc h6 yb1 ff5 fs1 fc0 sc0 ls4 ws4") dominującej
            • span (class="ff1 ls0 ws0")
              • span (class="_ _6") oraz
            • span (class="_ _b") za
            • span (class="_ _1") sad
            • span (class="_ _22") rozpoznaw
            • span (class="_ _1") ania
            • span (class="_ _22") przychodów
            • span (class="_ _1")
            • span (class="_ _22") ze
          • div (class="t m0 xc h6 y8e ff5 fs1 fc0 sc0 ls4 ws4") sprzedaży
            • span (class="_ _3") pod
            • span (class="_ _7") kątem
            • span (class="_ _3") zgodności
            • span (class="_ _3") z
            • span (class="_ _3") mającymi
            • span (class="_ _3") zasto
            • span (class="_ _1") sowanie
            • span (class="_ _1")
          • div (class="t m0 xc h6 y8f ff5 fs1 fc0 sc0 ls4 ws4") standardami spr
            • span (class="_ _1") awozdawcz
            • span (class="_ _1") ości finansow
            • span (class="_ _1") ej;
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h6 yb2 ff1 fs1 fc0 sc0 ls0 ws0")

            • span (class="_ _4")
            • span (class="ff5 ls4 ws4") ocenę
              • span (class="_ _4") środowiska
              • span (class="_ _4") kontroli
              • span (class="_ _4") wewnęt
              • span (class="_ _1") rznej
              • span (class="_ _4") funkcjonując
              • span (class="_ _1") ej
              • span (class="_ _4") w
          • div (class="t m0 xc h6 yb3 ff5 fs1 fc0 sc0 ls4 ws4") Grupie
            • span (class="ls0 ws0") ;
              • span (class="ff1")

          • div (class="t m0 xc h6 yb4 ff1 fs1 fc0 sc0 ls0 ws0")

            • span (class="_ _2")
            • span (class="ff5 ls4 ws4") omówienie
              • span (class="_ _2") z
              • span (class="_ _7") osobami
              • span (class="_ _2") wyznaczonymi
              • span (class="_ _1")
              • span (class="_ _7") przez
              • span (class="_ _2") Zarząd
              • span (class="_ _2") Spółki
              • span (class="_ _1")
          • div (class="t m0 xc h6 yb5 ff5 fs1 fc0 sc0 ls4 ws4") dominującej stopnia zaawan
            • span (class="_ _1") sowania istotny
            • span (class="_ _1") ch kontraktów, w
          • div (class="t m0 xc h6 yb6 ff5 fs1 fc0 sc0 ls6 ws8") tym
            • span (class="_ _4") aktual
            • span (class="_ _1") ności
            • span (class="_ _4") szacu
            • span (class="_ _1") nków,
            • span (class="_ _3") oceny
            • span (class="_ _4") kluczowych
            • span (class="_ _1")
            • span (class="_ _4") ryzyk
            • span (class="_ _4") oraz
            • span (class="_ _1")
          • div (class="t m0 xc h6 yb7 ff5 fs1 fc0 sc0 ls4 ws4") ich uwzględn
            • span (class="_ _1") ienie w wycen
            • span (class="_ _1") ie,
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h6 yb8 ff1 fs1 fc0 sc0 ls0 ws0")

            • span (class="ff5 ls4 ws4") następujące
              • span (class="_ _0") procedury badania wykonane na
              • span (class="_ _0") próbie umów
          • div (class="t m0 xc h6 yb9 ff5 fs1 fc0 sc0 ls6 ws8") z klienta
            • span (class="_ _1") mi:
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 xc h6 yba ff5 fs1 fc0 sc0 ls4 ws4") a)
            • span (class="_ _1a") analizę
            • span (class="_ _1a") warunków
            • span (class="_ _1")
            • span (class="_ _1a") umów,
            • span (class="_ _a") w
            • span (class="_ _1a") tym
            • span (class="_ _e") ocenę
            • span (class="_ _a") poprawności
          • div (class="t m0 xc h6 ybb ff5 fs1 fc0 sc0 ls6 ws8") przyjęt
            • span (class="_ _1") ej
            • span (class="_ _3") przez
            • span (class="_ _3")
            • span (class="ls4 ws4") Grupę
              • span (class="_ _3") metody
              • span (class="_ _1")
              • span (class="_ _3") wyceny
              • span (class="_ _3") i
              • span (class="_ _3") ujęcia
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          • div (class="t m0 xc h6 ybc ff5 fs1 fc0 sc0 ls4 ws4") zgodnie z MSS
            • span (class="_ _1") F 15,
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 xc h6 ybd ff5 fs1 fc0 sc0 ls4 ws4") b)
            • span (class="_ _7") ocenę
            • span (class="_ _7") istotnych
            • span (class="_ _7") założeń
            • span (class="_ _2") i
            • span (class="_ _3") szacunków
            • span (class="_ _2") dokonanych
            • span (class="_ _7") przez
            • span (class="_ _1")
          • div (class="t m0 xc h6 ybe ff5 fs1 fc0 sc0 ls4 ws4") Grupę
            • span (class="ff1 ls0 ws0")
              • span (class="_ _23") w
            • span (class="_ _21") odniesieniu
            • span (class="_ _23") do
            • span (class="_ _21") przychodów
            • span (class="_ _23") i
            • span (class="_ _23") kosztów
          • div (class="t m0 xc h6 ybf ff5 fs1 fc0 sc0 ls4 ws4") analizowany
            • span (class="_ _1") ch umów oraz
            • span (class="_ _1") marży,
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 xc h6 yc0 ff5 fs1 fc0 sc0 ls4 ws4") c)
            • span (class="_ _6") test
            • span (class="_ _6") poprawności
            • span (class="_ _6") alokacji
            • span (class="_ _e") kosztów
            • span (class="_ _6") i
            • span (class="_ _6") przychodów
            • span (class="_ _6") do
          • div (class="t m0 xc h6 yc1 ff5 fs1 fc0 sc0 ls4 ws4") poszczególny
            • span (class="_ _1") ch
            • span (class="_ _4") kontraktów,
            • span (class="_ _4") w
            • span (class="_ _9") tym
            • span (class="_ _4") zgodność
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            • span (class="_ _9") zawartym
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          • div (class="t m0 xc h6 yc2 ff5 fs1 fc0 sc0 ls4 ws4") umowami,
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 xc h6 yc3 ff5 fs1 fc0 sc0 ls4 ws4") d)
            • span (class="_ _7") analizę
            • span (class="_ _7") zmian
            • span (class="_ _7") marży
            • span (class="_ _7") w
            • span (class="_ _7") czasie
            • span (class="_ _7") realizacji
            • span (class="_ _7") poszczeg
            • span (class="_ _1") ólnych
          • div (class="t m0 xc h6 yc4 ff5 fs1 fc0 sc0 ls4 ws4") umów,
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 xc h6 yc5 ff5 fs1 fc0 sc0 ls4 ws4") e)
            • span (class="_ _11") uzgod
            • span (class="_ _1") nienie
            • span (class="_ _11") po
            • span (class="_ _1") szczegól
            • span (class="_ _1") nych
            • span (class="_ _11") p
            • span (class="_ _1") ozycji
            • span (class="_ _24") przychodów
            • span (class="_ _1")
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          • div (class="t m0 xc h6 yc6 ff5 fs1 fc0 sc0 ls4 ws4") kosztów do pr
            • span (class="_ _1") zedstawione
            • span (class="_ _1") j dokumentacj
            • span (class="_ _1") i źródłowej,
            • span (class="_ _1")
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h6 yc7 ff1 fs1 fc0 sc0 ls0 ws0")

            • span (class="_ _14")
            • span (class="ff5 ls4 ws4") testowane,
              • span (class="_ _17") na
              • span (class="_ _17") wybranej
              • span (class="_ _14") (losow
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              • span (class="_ _17") próbie
              • span (class="_ _14") prawidłowo
              • span (class="_ _1") ści
          • div (class="t m0 xc h6 yc8 ff5 fs1 fc0 sc0 ls4 ws4") momentu
            • span (class="_ _16") rozpoznan
            • span (class="_ _1") ia
            • span (class="_ _16") przychodów
            • span (class="_ _15") ze
            • span (class="_ _16") sprzedaży
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          • div (class="t m0 xc h6 yc9 ff5 fs1 fc0 sc0 ls6 ws8") szczegól
            • span (class="_ _1") ności w
            • span (class="_ _1") zakres
            • span (class="_ _1") ie tra
            • span (class="_ _1") nsakc
            • span (class="_ _1") ji na p
            • span (class="_ _1") rzełom
            • span (class="_ _1") ie rok
            • span (class="_ _1") u;
            • span (class="ff1 ls0 ws0")

          • div (class="t m0 xc h6 yca ff1 fs1 fc0 sc0 ls0 ws0")

            • span (class="ff5 ls4 ws4") ocenę
              • span (class="_ _25") poprawnoś
              • span (class="_ _1") ci
              • span (class="_ _25") i
              • span (class="_ _25") kompletnoś
              • span (class="_ _1") ci
              • span (class="_ _25") ujawnie
              • span (class="_ _1") ń
          • div (class="t m0 xc h6 ycb ff5 fs1 fc0 sc0 ls4 ws4") przedstawiony
            • span (class="_ _1") ch
            • span (class="_ _26") w
            • span (class="_ _26")
            • span (class="ls6 ws8") sko
              • span (class="_ _1") nsolid
              • span (class="_ _1") owa
              • span (class="_ _1") nym
              • span (class="_ _26")
              • span (class="ls4 ws4") spr
                • span (class="_ _1") awozdaniu
                • span (class="_ _1")
          • div (class="t m0 xc h6 ycc ff5 fs1 fc0 sc0 ls4 ws4") finansowym
            • span (class="_ _1")
            • span (class="_ _27") dotyczący
            • span (class="_ _1") ch
            • span (class="_ _27") ujmowani
            • span (class="_ _1") a
            • span (class="_ _27") przy
            • span (class="_ _1") chodów
            • span (class="_ _13") ze
          • div (class="t m0 xc h6 ycd ff5 fs1 fc0 sc0 ls4 ws4") sprzedaży
            • span (class="_ _20") w
            • span (class="_ _11") odniesieniu
            • span (class="_ _11") do
            • span (class="_ _20") mający
            • span (class="_ _1") ch
            • span (class="_ _20") zastos
            • span (class="_ _1") owanie
          • div (class="t m0 xc h6 yce ff5 fs1 fc0 sc0 ls4 ws4") wymogów standar
            • span (class="_ _1") dów spraw
            • span (class="_ _1") ozdawczośc
            • span (class="_ _1") i finansowe
            • span (class="_ _1") j
            • span (class="ff1 ls0 ws0")
        • div (class="pi")
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            • span (class="ff5 ls4 ws4") badania
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            • span (class="_ _14") także
            • span (class="_ _14") przy
            • span (class="_ _a") formułowaniu
            • span (class="_ _14") opinii
            • span (class="_ _14") biegłego
            • span (class="_ _14") rewidenta.
            • span (class="_ _14") W
            • span (class="_ _a") związku
            • span (class="_ _14") z
            • span (class="_ _a") powyższy
            • span (class="_ _1") m
          • div (class="t m0 x3 h6 yf9 ff5 fs1 fc0 sc0 ls4 ws4") wszystkie opinie
            • span (class="_ _0") i
            • span (class="_ _0") stwierdzenia zawarte
            • span (class="_ _0") w
            • span (class="_ _0") sprawozdaniu z
            • span (class="_ _0") badania
            • span (class="_ _0") są
            • span (class="_ _0") wyrażane z
            • span (class="_ _0") uwzględnieniem jakościowego
            • span (class="_ _1")
          • div (class="t m0 x3 h6 yfa ff5 fs1 fc0 sc0 ls4 ws4") i
            • span (class="_ _0") wartościowego
            • span (class="_ _0") poziomu
            • span (class="_ _0") istotności
            • span (class="_ _0") ustalonego zgodnie
            • span (class="_ _0") ze
            • span (class="_ _5") standarda
            • span (class="_ _1") mi
            • span (class="_ _0") badania
            • span (class="_ _0") i
            • span (class="_ _5") zawodo
            • span (class="_ _1") wym
            • span (class="_ _0") osądem
            • span (class="_ _0") biegłego
          • div (class="t m0 x3 h6 yfb ff5 fs1 fc0 sc0 ls4 ws4") rewidenta
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 yfc ff5 fs1 fc0 sc0 ls4 ws4") Zakres
            • span (class="_ _0") badania
            • span (class="_ _5") nie
            • span (class="_ _5") obejmuje
            • span (class="_ _0") zapewnienia
            • span (class="_ _0") co
            • span (class="_ _5") do
            • span (class="_ _5") przyszłej
            • span (class="_ _0") rentowności
            • span (class="_ _5") Grupy
            • span (class="_ _0") ani
            • span (class="_ _5") efektywności
            • span (class="_ _1")
            • span (class="_ _5") lub
            • span (class="_ _0") s
            • span (class="_ _0") kutecznoś
            • span (class="_ _1") ci
          • div (class="t m0 x3 h6 yfd ff5 fs1 fc0 sc0 ls4 ws4") prowadzenia je
            • span (class="_ _1") j spraw prze
            • span (class="_ _1") z Zarząd J
            • span (class="_ _1") ednostki dom
            • span (class="_ _1") inującej o
            • span (class="_ _1") becnie lub w
            • span (class="ff1 ls0 ws0")
            • span (class="ls6 ws8") pr
              • span (class="_ _1") zy
              • span (class="_ _1") szłości.
              • span (class="_ _1")
              • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 yfe ff5 fs1 fc0 sc0 ls4 ws4") Podczas bad
            • span (class="_ _1") ania zgodnego
            • span (class="_ _1") z KSB
            • span (class="_ _1") stosujemy zawodo
            • span (class="_ _1") wy osąd i za
            • span (class="_ _1") chowujemy
            • span (class="_ _1") zawodow
            • span (class="_ _1") y sceptycyzm,
            • span (class="_ _1") a
            • span (class="ff1 ls0 ws0") także:
            • span (class="_ _1")
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 yff ff6 fs1 fc0 sc0 ls0 ws0") −
            • span (class="ff7")
              • span (class="_ _8")
              • span (class="ff5 ls4 ws4") identyfikujem
                • span (class="_ _1") y
                • span (class="_ _9") i
                • span (class="_ _4") oceniamy
                • span (class="_ _4") ryzyka
                • span (class="_ _4") i
                • span (class="_ _0") stotnego
                • span (class="_ _1")
                • span (class="_ _9") zniekszta
                • span (class="_ _1") łcenia
                • span (class="_ _4") skonsolidowane
                • span (class="_ _1") go
                • span (class="_ _4") sprawozdania
                • span (class="_ _4") finansowego
                • span (class="_ _1")
          • div (class="t m0 x5 h6 y100 ff5 fs1 fc0 sc0 ls4 ws4") spowodowane
            • span (class="_ _1") go
            • span (class="_ _5") oszustwem
            • span (class="_ _5") lub
            • span (class="_ _5") błędem,
            • span (class="_ _5") projektuje
            • span (class="_ _1") my
            • span (class="_ _5") i
            • span (class="ff1 ls0 ws0") przeprowadza
            • span (class="_ _1") my
            • span (class="_ _5") procedury
            • span (class="_ _5") bada
            • span (class="_ _1") nia
            • span (class="_ _5") odpowiadające
            • span (class="_ _1")
          • div (class="t m0 x5 h6 y101 ff5 fs1 fc0 sc0 ls6 ws8") tym
            • span (class="_ _7") ryzyko
            • span (class="_ _1") m
            • span (class="_ _2") i
            • span (class="_ _3") uzys
            • span (class="_ _1") kujemy
            • span (class="_ _1")
            • span (class="_ _7") dowo
            • span (class="_ _1") dy
            • span (class="_ _7") badania,
            • span (class="_ _1")
            • span (class="_ _7") które
            • span (class="_ _1")
            • span (class="_ _7") są
            • span (class="_ _7") wystar
            • span (class="_ _1") czające
            • span (class="_ _2") i
            • span (class="ff1 ls0 ws0")
            • span (class="ls4 ws4") odpowiedn
              • span (class="_ _1") ie,
              • span (class="_ _7") aby
              • span (class="_ _2") stanowić
              • span (class="_ _7") podstawę
        • div (class="pi")
      • div (class="pf w0 h0", id="pf5")
        • div (class="pc pc5 w0 h0")
          • div (class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0"): 5
          • div (class="t m0 x5 h6 y2e ff5 fs1 fc0 sc0 ls6 ws8") dla
            • span (class="_ _3") naszej
            • span (class="_ _3") opini
            • span (class="_ _1") i.
            • span (class="_ _3") Ryzyko
            • span (class="_ _3") nie
            • span (class="_ _1") wykrycia
            • span (class="_ _1")
            • span (class="_ _3") istotnego
            • span (class="_ _7") zniekształce
            • span (class="_ _1") nia
            • span (class="_ _3") wynikają
            • span (class="_ _1") cego
            • span (class="_ _1")
            • span (class="_ _3") z
            • span (class="_ _4") os
            • span (class="_ _1") zustw
            • span (class="_ _1") a
            • span (class="_ _3") jest
            • span (class="_ _3") większe
            • span (class="_ _3") niż
          • div (class="t m0 x5 h6 y2f ff5 fs1 fc0 sc0 ls4 ws4") tego
            • span (class="_ _4") wynikającego
            • span (class="_ _9") z
            • span (class="_ _4") błędu,
            • span (class="_ _4") ponieważ o
            • span (class="_ _1") szustwo
            • span (class="_ _4") może
            • span (class="_ _4") dotyczyć
            • span (class="_ _9") zmowy,
            • span (class="_ _4") fałszerstwa,
            • span (class="_ _4") celowych
            • span (class="_ _4") pominięć,
          • div (class="t m0 x5 h6 y30 ff5 fs1 fc0 sc0 ls4 ws4") wprowadzeni
            • span (class="_ _1") a w błąd lub o
            • span (class="_ _1") bejścia kontro
            • span (class="_ _1") li wewnętr
            • span (class="_ _1") znej;
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 y102 ff6 fs1 fc0 sc0 ls0 ws0") −
            • span (class="ff7")
              • span (class="_ _8")
              • span (class="ff5 ls4 ws4") uzyskujemy
                • span (class="_ _17") zrozumienie
                • span (class="_ _14") kontroli
                • span (class="_ _14") wewnętrz
                • span (class="_ _1") nej
                • span (class="_ _14") stosownej
                • span (class="_ _17") dla
                • span (class="_ _14") badania
                • span (class="_ _14") w
                • span (class="_ _14") celu
                • span (class="_ _14") zaprojektowania
                • span (class="_ _17") procedur
          • div (class="t m0 x5 h6 y103 ff5 fs1 fc0 sc0 ls4 ws4") badania,
            • span (class="_ _14") które
            • span (class="_ _a") są
            • span (class="_ _a") odpowiednie
            • span (class="_ _14") w
            • span (class="_ _a") danych
            • span (class="_ _a") okolicznościa
            • span (class="_ _1") ch,
            • span (class="_ _a") ale
            • span (class="_ _a") nie
            • span (class="_ _14") w
            • span (class="_ _1a") celu
            • span (class="_ _a") wyrażen
            • span (class="_ _1") ia
            • span (class="_ _a") opinii
            • span (class="_ _14") na
            • span (class="_ _1a") temat
          • div (class="t m0 x5 h6 y104 ff5 fs1 fc0 sc0 ls6 ws8") skuteczno
            • span (class="_ _1") ści kon
            • span (class="_ _1") troli w
            • span (class="_ _1") ewnę
            • span (class="_ _1") trzn
            • span (class="_ _1") ej Grupy
            • span (class="_ _1") ;
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 y105 ff6 fs1 fc0 sc0 ls0 ws0") −
            • span (class="ff7")
              • span (class="_ _8")
              • span (class="ff5 ls4 ws4") oceniamy
                • span (class="_ _22") odpowiednioś
                • span (class="_ _1") ć
                • span (class="_ _22") zastosowanych
                • span (class="_ _6") zas
                • span (class="_ _0") ad
                • span (class="_ _22") (polityki
                • span (class="_ _1") )
                • span (class="_ _22") rachunkowości
                • span (class="_ _22") oraz
                • span (class="_ _22") zasadność
                • span (class="_ _22") szacunków
          • div (class="t m0 x5 h6 y106 ff5 fs1 fc0 sc0 ls4 ws4") księgowych oraz
            • span (class="_ _1") powiązany
            • span (class="_ _1") ch ujawnień
            • span (class="_ _1") dokonany
            • span (class="_ _1") ch przez Zarząd J
            • span (class="_ _1") ednostki dom
            • span (class="_ _1") inującej;
            • span (class="_ _1")
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 y107 ff6 fs1 fc0 sc0 ls0 ws0") −
            • span (class="ff7")
              • span (class="_ _8")
              • span (class="ff5 ls4 ws4") wyciągamy
                • span (class="_ _9") wniosek
                • span (class="_ _4") na tema
                • span (class="_ _1") t
                • span (class="_ _9") odpowiednioś
                • span (class="_ _1") ci za
                • span (class="_ _1") stosowan
                • span (class="_ _1") ia pr
                • span (class="_ _1") zez Zar
                • span (class="_ _1") ząd
                • span (class="_ _9") Jednostki
                • span (class="_ _4") dominującej
                • span (class="_ _9") zasady
          • div (class="t m0 x5 h6 y108 ff5 fs1 fc0 sc0 ls4 ws4") kontynuacji działalnoś
            • span (class="_ _1") ci jako podstawy rachunkowośc
            • span (class="_ _1") i oraz, na
            • span (class="ff1 ls0 ws0") podstawie uzyskanych dow
            • span (class="_ _1") odów badania, czy
          • div (class="t m0 x5 h6 y109 ff5 fs1 fc0 sc0 ls4 ws4") istnieje
            • span (class="_ _9") istotna
            • span (class="_ _4") niepewność
            • span (class="_ _4") związana
            • span (class="_ _9") ze
            • span (class="ff1 ls0 ws0") zdarzeniam
            • span (class="_ _1") i lub
            • span (class="_ _4") warunkami,
            • span (class="_ _4") która może
            • span (class="_ _4") poddawać
            • span (class="_ _9") w
            • span (class="_ _9") znaczącą
            • span (class="_ _1")
          • div (class="t m0 x5 h6 y10a ff5 fs1 fc0 sc0 ls4 ws4") wątpliwość
            • span (class="_ _3") zdolność
            • span (class="_ _3") Grupy
            • span (class="_ _3") do
            • span (class="_ _4") kontynuacj
            • span (class="_ _1") i
            • span (class="_ _3") dz
            • span (class="_ _0") iałalnoś
            • span (class="_ _1") ci.
            • span (class="_ _3") J
            • span (class="_ _0") eżeli
            • span (class="_ _3") dochodzimy
            • span (class="_ _3") do
            • span (class="_ _4") wn
            • span (class="_ _1") iosku,
            • span (class="_ _3") że
            • span (class="_ _4") istnieje
            • span (class="_ _3") istotna
            • span (class="_ _1")
          • div (class="t m0 x5 h6 y10b ff5 fs1 fc0 sc0 ls4 ws4") niepewność,
            • span (class="_ _14") wymagane
            • span (class="_ _14") jest
            • span (class="_ _14") od
            • span (class="_ _a") nas
            • span (class="_ _a") zwrócenie
            • span (class="_ _14") uwagi
            • span (class="_ _14") w
            • span (class="ff1 ls0 ws0") naszym
            • span (class="_ _a") sprawozdani
            • span (class="_ _1") u
            • span (class="_ _14") biegłego
            • span (class="_ _a") rewidenta
            • span (class="_ _14") na
          • div (class="t m0 x5 h6 y10c ff5 fs1 fc0 sc0 ls4 ws4") powiązane
            • span (class="_ _e") ujawnienia
            • span (class="_ _e") w
            • span (class="_ _6") skonsolidowany
            • span (class="_ _1") m
            • span (class="_ _6") sprawozdan
            • span (class="_ _1") iu
            • span (class="_ _e") finansowym
            • span (class="_ _e") lub,
            • span (class="_ _6") jeżeli
            • span (class="_ _e") takie
            • span (class="_ _6") ujawnienia
            • span (class="_ _e") są
          • div (class="t m0 x5 h6 y10d ff5 fs1 fc0 sc0 ls4 ws4") nieadekwatne,
            • span (class="_ _2") modyfikujemy
            • span (class="_ _2") nas
            • span (class="_ _0") zą
            • span (class="_ _7") opinię.
            • span (class="_ _7") Nasze
            • span (class="_ _7") wnioski
            • span (class="_ _7") są
            • span (class="ff1 ls0 ws0") oparte
            • span (class="_ _7") na
            • span (class="_ _3") dowodach
            • span (class="_ _7") badania
            • span (class="_ _7") uzyskanych
            • span (class="_ _7") do
          • div (class="t m0 x5 h6 y10e ff5 fs1 fc0 sc0 ls4 ws4") dnia sporządzenia naszego sp
            • span (class="_ _1") rawozdania biegłego rewid
            • span (class="_ _1") enta, jednakże przyszłe zdarzeni
            • span (class="_ _1") a lub warunki mogą
          • div (class="t m0 x5 h6 y10f ff5 fs1 fc0 sc0 ls4 ws4") spowodować, że
            • span (class="_ _1") Grupa zapr
            • span (class="_ _1") zestanie kon
            • span (class="_ _1") tynuacj
            • span (class="_ _1") i działalności;
            • span (class="_ _1")
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 y110 ff6 fs1 fc0 sc0 ls0 ws0") −
            • span (class="ff7")
              • span (class="_ _8")
              • span (class="ff5 ls4 ws4") oceniamy
                • span (class="_ _3") ogólną
                • span (class="_ _4") pre
                • span (class="_ _1") zentację
                • span (class="_ _1") ,
                • span (class="_ _4") stru
                • span (class="_ _1") kturę
                • span (class="_ _3") i
                • span (class="_ _4") zawartość
                • span (class="_ _3") skonsolidowanego
                • span (class="_ _3") sprawozdania
                • span (class="_ _1")
                • span (class="_ _4") fi
                • span (class="_ _1") nansowego,
                • span (class="_ _3") w
                • span (class="_ _4") tym
                • span (class="_ _1")
          • div (class="t m0 x5 h6 y111 ff5 fs1 fc0 sc0 ls4 ws4") ujawnienia,
            • span (class="_ _5") oraz
            • span (class="_ _5") czy
            • span (class="_ _2") skonsolidowane
            • span (class="_ _5") sprawozdan
            • span (class="_ _1") ie
            • span (class="_ _2") finansow
            • span (class="_ _1") e
            • span (class="_ _2") przedstawia
            • span (class="_ _5") będące
            • span (class="_ _5") ich
            • span (class="_ _2") podstawą
            • span (class="_ _5") transakcje
          • div (class="t m0 x5 h6 y112 ff1 fs1 fc0 sc0 ls0 ws0") i
            • span (class="ff5 ls4 ws4") zdarzenia w
              • span (class="_ _1") sposób zapewni
              • span (class="_ _1") ający rzete
              • span (class="_ _1") lną prezenta
              • span (class="_ _1") cję;
              • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 y113 ff6 fs1 fc0 sc0 ls0 ws0") −
            • span (class="ff7")
              • span (class="_ _8")
              • span (class="ff5 ls6 ws8") uzyskuje
                • span (class="_ _1") my
                • span (class="ff1 ls0 ws0")
                  • span (class="_ _2")
                • span (class="ls4 ws4") wystarczające
                  • span (class="_ _2") odpowiednie
                  • span (class="_ _2") dowody
                  • span (class="_ _2") badania
                  • span (class="_ _7") odnośnie
                  • span (class="_ _2") do
                  • span (class="_ _2") informacji
                  • span (class="_ _2") fi
                  • span (class="_ _0") nansow
                  • span (class="_ _1") ych
                  • span (class="_ _2") j
                  • span (class="_ _0") ednostek
                  • span (class="_ _2") lub
          • div (class="t m0 x5 h6 y114 ff5 fs1 fc0 sc0 ls4 ws4") działalności
            • span (class="_ _8") gospodarczy
            • span (class="_ _1") ch
            • span (class="_ _8") wewnątrz
            • span (class="_ _8") G
            • span (class="_ _0") rupy
            • span (class="_ _8") w
            • span (class="_ _10") celu
            • span (class="_ _8") wyrażenia
            • span (class="_ _8") opinii
            • span (class="_ _8") na
            • span (class="_ _10") temat
            • span (class="_ _10") skonsolidowane
            • span (class="_ _1") go
          • div (class="t m0 x5 h6 y115 ff5 fs1 fc0 sc0 ls4 ws4") sprawozdania
            • span (class="_ _17") finansowego.
            • span (class="_ _17") Jes
            • span (class="_ _0") teśmy
            • span (class="_ _14") odpowied
            • span (class="_ _1") zialni
            • span (class="_ _14") za
            • span (class="_ _17") k
            • span (class="_ _0") ierowanie,
            • span (class="_ _17") nadzór
            • span (class="_ _14") i
            • span (class="ff1 ls0 ws0") przeprowadzeni
            • span (class="_ _1") e
            • span (class="_ _14") badania
          • div (class="t m0 x5 h6 y116 ff5 fs1 fc0 sc0 ls6 ws8") Grupy i po
            • span (class="_ _1") zosta
            • span (class="_ _1") jemy w
            • span (class="_ _1") yłączn
            • span (class="_ _1") ie odpo
            • span (class="_ _1") wied
            • span (class="_ _1") zialni
            • span (class="_ _1") za naszą
            • span (class="_ _1") opin
            • span (class="_ _1") ię z
            • span (class="ff1 ls0 ws0")
            • span (class="ls4 ws4") badan
              • span (class="_ _1") ia.
              • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 y117 ff5 fs1 fc0 sc0 ls4 ws4") Przekazujemy
            • span (class="_ _4") Radzie
            • span (class="_ _4") Nadzorczej
            • span (class="_ _4") Jednostki
            • span (class="_ _9") dominują
            • span (class="_ _1") cej
            • span (class="_ _4") informacje
            • span (class="_ _4") o, międz
            • span (class="_ _1") y
            • span (class="_ _4") i
            • span (class="_ _0") nnymi,
            • span (class="_ _4") planowanym
            • span (class="_ _4") zakresie
            • span (class="_ _1")
          • div (class="t m0 x3 h6 y118 ff1 fs1 fc0 sc0 ls0 ws0") i
            • span (class="ff5 ls4 ws4") czasie
              • span (class="_ _8") przeprowad
              • span (class="_ _1") zenia
              • span (class="_ _8") badania
              • span (class="_ _1")
              • span (class="_ _8") oraz
              • span (class="_ _8") znaczących
              • span (class="_ _8") ustalen
              • span (class="_ _1") iach
              • span (class="_ _8") badania,
              • span (class="_ _8") w
              • span (class="ff1 ls0 ws0")
              • span (class="ls6 ws8") ty
                • span (class="_ _1") m
                • span (class="_ _8") wszelk
                • span (class="_ _1") ich
                • span (class="_ _8") znacz
                • span (class="_ _1") ącyc
                • span (class="_ _1") h
          • div (class="t m0 x3 h6 y119 ff5 fs1 fc0 sc0 ls4 ws4") słabościach
            • span (class="_ _1") kontroli wewnętr
            • span (class="_ _1") znej, kt
            • span (class="_ _1") óre zident
            • span (class="_ _1") yfikujemy po
            • span (class="_ _1") dczas badan
            • span (class="_ _1") ia.
            • span (class="ff1 ls0 ws0")
          • div (class="t m0 x3 h6 y11a ff5 fs1 fc0 sc0 ls4 ws4") Składamy
            • span (class="_ _2") Radzie
            • span (class="_ _7") Nadzorczej
            • span (class="_ _2") Jednostki
            • span (class="_ _7") dominującej
            • span (class="_ _2") oświadczenie,
            • span (class="_ _2") że
            • span (class="_ _7") przestrzegaliśm
            • span (class="_ _1") y
            • span (class="_ _7") stosownych
            • span (class="_ _2") wymogów
          • div (class="t m0 x3 h6 y11b ff5 fs1 fc0 sc0 ls4 ws4") etycznych
            • span (class="_ _4") dot
            • span (class="_ _1") yczących
            • span (class="_ _3") niezależności
            • span (class="_ _4") oraz,
            • span (class="_ _3") że
            • span (class="_ _4") będziemy
            • span (class="_ _4") informow
            • span (class="_ _1") ać
            • span (class="_ _4") ich
            • span (class="_ _3") o
            • span (class="_ _9") wszys
            • span (class="_ _1") tkich
            • span (class="_ _4") powiązan
            • span (class="_ _1") iach
            • span (class="_ _4") i
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          • div (class="t m0 x5 h6 y185 ff5 fs1 fc0 sc0 ls4 ws4") ESEF, obejmująceg
            • span (class="_ _1") o proces wyboru i zastosowania przez Spółkę znaczników
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        • div (class="pi")
    • div (class="loading-indicator")
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