Digitree Group S.A. — Audit Report / Information 2023

Apr 18, 2024

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    • title: SZB_DIGITREE_2023-12-31_pl.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 / #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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")
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            • span (class="_ _7") zgodnie
            • span (class="_ _7") z
            • span (class="_ _2") Międzynarodowym
            • span (class="_ _7") Kodeksem
            • span (class="_ _7") etyki
            • span (class="_ _7") zawodowych
            • span (class="_ _7") księgowych
          • div (class="t m0 x2 he y42 fff fs8 fc0 sc0 ls1f ws0") (w
            • span (class="_ _b") tym
            • span (class="_ _b") Międzynarodow
            • span (class="_ _2") ymi
            • span (class="_ _b") standardami
            • span (class="_ _b") niezależno
            • span (class="_ _2") ści)
            • span (class="_ _b") Rady
            • span (class="_ _b") Międzynarodowych
            • span (class="_ _2")
            • span (class="_ _b") Standardów
          • div (class="t m0 x2 he y43 fff fs8 fc0 sc0 ls1d ws0") Etycznych
            • span (class="_ _7") dla
            • span (class="_ _2") Księgowych
            • span (class="_ _7") („Kodeks
            • span (class="_ _7") I
            • span (class="_ _0") ESBA”)
            • span (class="_ _7") przyjętym
            • span (class="_ _2") uchwałą
            • span (class="_ _7") Krajowej
            • span (class="_ _7") Rady Biegł
            • span (class="ls1b") ych
              • span (class="_ _7") Rewidentów
          • div (class="t m0 x2 he y44 fff fs8 fc0 sc0 ls22 ws0") nr
            • span (class="_ _7") 3431/52a/2019
            • span (class="_ _7") z
            • span (class="_ _14") dnia
            • span (class="_ _7") 25
            • span (class="_ _14") marca
            • span (class="_ _7") 2019
            • span (class="_ _14") roku
            • span (class="_ _7") w
            • span (class="_ _7") sprawie
            • span (class="_ _14") za
            • span (class="_ _0") sad
            • span (class="_ _14") e
            • span (class="_ _0") tyki
            • span (class="_ _7") zawodowej
            • span (class="_ _14") biegł
            • span (class="_ _0") ych
            • span (class="_ _7") rewidentów
            • span (class="ls25"): ,
          • div (class="t m0 x2 he y45 fff fs8 fc0 sc0 ls1f ws0") z późniejszymi zmianami,
            • span (class="ls0")
              • span (class="ls1a") oraz
                • span (class="_ _0") z innymi wymogami
                • span (class="_ _0") etycznymi, które
                • span (class="_ _0") mają zastos
                • span (class="_ _0") owanie do
              • span (class="ls1c") badani
                • span (class="_ _0") a
          • div (class="t m0 x2 he y46 fff fs8 fc0 sc0 ls20 ws0") sprawozdań
            • span (class="_ _5") finansowych
            • span (class="_ _5") w
            • span (class="_ _5") Polsce.
            • span (class="_ _5") Wypełniliśmy
            • span (class="_ _5") nasze
            • span (class="ls0")
              • span (class="_ _5")
              • span (class="ls21") inne
                • span (class="_ _5") obowiązki
                • span (class="_ _5") etyczne
                • span (class="_ _5") zgodnie
                • span (class="_ _5") z
                • span (class="_ _5") tymi
          • div (class="t m0 x2 he y47 fff fs8 fc0 sc0 ls2a ws0") wymogami
            • span (class="_ _1") i
            • span (class="_ _10") Kodeksem
            • span (class="_ _1") I
            • span (class="ls1d") ESBA
              • span (class="ls25") .
                • span (class="_ _10") W
                • span (class="_ _1") trakcie
                • span (class="_ _1") przeprowadzania
                • span (class="_ _1") badania
                • span (class="_ _1") kluczowy
                • span (class="_ _1") biegły
                • span (class="_ _1") rewident
                • span (class="_ _1") oraz
          • div (class="t m0 x2 he y48 fff fs8 fc0 sc0 ls8 ws0") firma
            • span (class="_ _1") audytorska
            • span (class="_ _10") pozostali
            • span (class="_ _1") niezależni
            • span (class="_ _10") od
            • span (class="_ _1") Spółki
            • span (class="_ _10") zgodnie
            • span (class="_ _1") z
            • span (class="_ _10") wymogami
            • span (class="_ _1") niezależności
            • span (class="_ _10") określo
            • span (class="_ _2") nymi
            • span (class="_ _1") w
          • div (class="t m0 x2 he y49 fff fs8 fc0 sc0 ls24 ws0") Ustawie o biegł
            • span (class="_ _0") ych rewidenta
            • span (class="_ _0") ch oraz Rozporzą
            • span (class="_ _0") dzeniu UE.
            • span (class="ls0")
          • div (class="t m0 x2 he y4a fff fs8 fc0 sc0 ls24 ws0") Uważamy,
            • span (class="_ _6") że
            • span (class="_ _c") dowody
            • span (class="_ _6") bada
            • span (class="_ _0") nia,
            • span (class="_ _6") któ
            • span (class="_ _0") re
            • span (class="_ _6") uzysk
            • span (class="_ _0") aliśmy
            • span (class="_ _6") są
            • span (class="_ _c") wystarczają
            • span (class="_ _0") ce
            • span (class="_ _6") i
            • span (class="_ _c") odpowiednie,
            • span (class="_ _c") aby
            • span (class="_ _6") stanowi
            • span (class="_ _0") ć
          • div (class="t m0 x2 he y4b fff fs8 fc0 sc0 ls1c ws0") podstawę dla naszej opinii.
            • span (class="_ _0")
            • span (class="ls0")
          • div (class="t m0 x2 he y4c ffe fs8 fc0 sc0 ls19 ws0") Kluczowe sprawy badania
            • span (class="ls0")
          • div (class="t m0 x2 he y4d fff fs8 fc0 sc0 ls22 ws0") Kluczowe s
            • span (class="_ _0") prawy badani
            • span (class="_ _0") a są
            • span (class="_ _0") to
            • span (class="_ _0") sprawy,
            • span (class="_ _0") które
            • span (class="_ _0") według nas
            • span (class="_ _0") zego zawodowego
            • span (class="_ _0") osądu
            • span (class="_ _0") były najbar
            • span (class="_ _0") dziej
          • div (class="t m0 x2 he y4e fff fs8 fc0 sc0 ls1f ws0") znaczące
            • span (class="_ _a") podczas
            • span (class="_ _15") badania
            • span (class="_ _15") sprawozdania
            • span (class="_ _15") f
            • span (class="_ _0") inansowego
            • span (class="_ _15") za
            • span (class="ls0")
              • span (class="_ _a")
              • span (class="ls1c") bieżący
                • span (class="_ _a") okres
                • span (class="_ _a") sprawozdawczy.
          • div (class="t m0 x2 he y4f fff fs8 fc0 sc0 ls17 ws0") Obejmują one
            • span (class="_ _e") najbar
            • span (class="_ _0") dziej znaczące ocenione
            • span (class="_ _e") rod
            • span (class="_ _0") zaje ryzyka
            • span (class="_ _e") i
            • span (class="_ _0") stotnego zniekształceni
            • span (class="_ _0") a, w
            • span (class="_ _e") tym
          • div (class="t m0 x2 he y50 fff fs8 fc0 sc0 ls1a ws0") ocenione
            • span (class="_ _e") rodzaje
            • span (class="_ _e") ryzyka
            • span (class="_ _e") istotnego
            • span (class="_ _e") zniekształcenia
            • span (class="_ _e") spowodowanego
            • span (class="_ _e") oszustwem.
            • span (class="_ _e") Do
            • span (class="_ _5") spraw
            • span (class="_ _e") tych
          • div (class="t m0 x2 he y51 fff fs8 fc0 sc0 ls1a ws0") odnieśliśmy
            • span (class="_ _6") się
            • span (class="_ _c") w
            • span (class="ls0")
              • span (class="_ _6")
              • span (class="ls1b") kontekście
                • span (class="_ _6") naszego
                • span (class="_ _c") badania
                • span (class="_ _6") sprawozdania
                • span (class="_ _6") finansowego
                • span (class="_ _6") jako
                • span (class="_ _c") całości
                • span (class="_ _6") oraz
                • span (class="_ _c") przy
          • div (class="t m0 x2 he y52 fff fs8 fc0 sc0 ls8 ws0") formułowaniu
            • span (class="_ _16") naszej
            • span (class="_ _16") opinii
            • span (class="_ _15") oraz
            • span (class="_ _16") podsumowaliśmy
            • span (class="_ _16") naszą
            • span (class="_ _16") reakcję
            • span (class="_ _15") na
            • span (class="_ _16") te
            • span (class="_ _15") rodzaje
            • span (class="_ _15") ryzyka,
          • div (class="t m0 x2 he y53 fff fs8 fc0 sc0 ls0 ws0") a w
            • span (class="ls1c") przypadkach,
              • span (class="_ _6") w
              • span (class="_ _c") których
              • span (class="_ _6") uz
              • span (class="_ _0") naliśmy
              • span (class="_ _6") za
              • span (class="_ _c") stosowne
              • span (class="_ _c") przedstawili
              • span (class="ls20") śmy
                • span (class="_ _c") najważniejsze
                • span (class="_ _6") spostrzeżenia
          • div (class="t m0 x2 he y54 fff fs8 fc0 sc0 ls1f ws0") związane z tymi rodzajami ryzyka. Nie wyraża
            • span (class="_ _2") my osobnej opinii na temat tych spraw.
            • span (class="ls0")
          • div (class="t m0 x2 h3 y55 ff2 fs1 fc0 sc0 ls0 ws0")
          • div (class="c x2 y56 w4 h11")
            • div (class="t m0 x7 h12 y57 ff12 fs9 fc4 sc0 ls2b ws0") Kluczow
              • span (class="ls0") a
                • span (class="ls2c"): spraw a
                • span (class="ls2d"): badania
                • span (class="ff13")
          • div (class="c x8 y56 w5 h11")
            • div (class="t m0 x9 h12 y58 ff12 fs9 fc4 sc0 ls2e ws0") Jak nasze badanie odniosło się do tej spraw
              • span (class="_ _2") y
              • span (class="ff13 ls0")
          • div (class="c x2 y59 w4 h13")
            • div (class="t m0 x7 h7 y5a ff6 fs3 fc0 sc0 ls2f ws0") Wycena n
              • span (class="_ _2") ieamorty
              • span (class="_ _2") zowanych
              • span (class="_ _2") wartośc
              • span (class="_ _2") i
            • div (class="t m0 x7 h7 y5b ff6 fs3 fc0 sc0 ls30 ws0") niematerialnych (sys
              • span (class="_ _2") tem SARE)
              • span (class="ls0")
            • div (class="t m0 x7 h7 y5c ff7 fs3 fc0 sc0 ls31 ws0") Znaczną część wartości ni
              • span (class="_ _2") ematerialnych i prawnych
            • div (class="t m0 x7 h7 y5d ff7 fs3 fc0 sc0 lsd ws0"): prezentowanych w jednostkowym i skonsolidowanym
            • div (class="t m0 x7 h7 y5e ff7 fs3 fc0 sc0 ls32 ws0"): sprawozdaniu finansowym stanowią systemy SARE (6,0
            • div (class="t m0 x7 h7 y5f ff7 fs3 fc0 sc0 ls33 ws0") mln zł).
              • span (class="_ _2")
              • span (class="ls0")
            • div (class="t m0 x7 h7 y60 ff7 fs3 fc0 sc0 ls34 ws0") Grupa traktuj
              • span (class="_ _2") e te systemy
              • span (class="_ _2") jako wartości
              • span (class="_ _2") niematerialn
              • span (class="_ _2") e o
            • div (class="t m0 x7 h7 y61 ff7 fs3 fc0 sc0 ls35 ws0") nieokreślonym okresie użytkowania i ich nie amortyzuj
              • span (class="_ _2") e,
            • div (class="t m0 x7 h7 y62 ff7 fs3 fc0 sc0 ls36 ws0") tylko co roku przeprowadza testy na utratę wa
              • span (class="_ _0") rtości.
              • span (class="ls0")
            • div (class="t m0 x7 h7 y63 ff7 fs3 fc0 sc0 ls37 ws0") Dodatkowo Spółka
              • span (class="_ _2") (Grupa), na d
              • span (class="_ _2") zień bilansowy
              • span (class="_ _2") ,
            • div (class="t m0 x7 h7 y64 ff7 fs3 fc0 sc0 ls10 ws0") wykazywała p
              • span (class="_ _2") race rozwojo
              • span (class="_ _2") we w trakci
              • span (class="_ _2") e realizac
              • span (class="_ _2") ji związan
              • span (class="_ _2") e
            • div (class="t m0 x7 h7 y65 ff7 fs3 fc0 sc0 ls32 ws0") z system SARE (1,5 mln zł).
              • span (class="ls0")
            • div (class="t m0 x7 h7 y66 ff7 fs3 fc0 sc0 lsf ws0") Testowanie obejmuje także prac
              • span (class="_ _2") e rozwojowe w trakcie
            • div (class="t m0 x7 h7 y67 ff7 fs3 fc0 sc0 ls38 ws0") realizacji.
              • span (class="ls0")
            • div (class="t m0 x7 h7 y68 ff7 fs3 fc0 sc0 lsf ws0") Ryzyko istotnego zniekszt
              • span (class="_ _2") ałcenia dotyczy wyceny
            • div (class="t m0 x7 h7 y69 ff7 fs3 fc0 sc0 lsc ws0") Systemów SARE oraz INIS.
              • span (class="ls0")
            • div (class="t m0 x7 h7 y6a ff7 fs3 fc0 sc0 ls31 ws0") Z punktu widzenia oceny ut
              • span (class="_ _2") raty wartości, istotne
              • span (class="_ _2") są
            • div (class="t m0 x7 h7 y6b ff7 fs3 fc0 sc0 ls32 ws0"): założenia przyjęte do testów, w tym przede wszystkim
            • div (class="t m0 x7 h7 y6c ff7 fs3 fc0 sc0 ls32 ws0"): szacunki przyszłych przychodów generowanych przez
            • div (class="t m0 x7 h7 y6d ff7 fs3 fc0 sc0 lsc ws0") Systemy.
              • span (class="ls0")
          • div (class="c x8 y59 w5 h13")
            • div (class="t m0 x9 h7 y5a ff7 fs3 fc0 sc0 lsc ws0") Podejście do badania
              • span (class="ls0"): :

            • div (class="t m0 xa h7 y6e ff14 fs3 fc0 sc0 ls0 ws0")

              • span (class="ff15")
                • span (class="_ _17")
                • span (class="ff7 lsf"): Rozmowy z Zarządem oraz osobami
            • div (class="t m0 xb h7 y5c ff7 fs3 fc0 sc0 ls39 ws0") odpowiedzialnymi za przeprowadzenie t
              • span (class="_ _2") estów na
            • div (class="t m0 xb h7 y5d ff7 fs3 fc0 sc0 lsd ws0") utratę wartości;
              • span (class="ls0")

            • div (class="t m0 xa h7 y5e ff14 fs3 fc0 sc0 ls0 ws0")

              • span (class="ff15")
                • span (class="_ _17")
                • span (class="ff7 ls31") Zapoznanie się i weryfi
                  • span (class="_ _2") kacja testów na utratę
            • div (class="t m0 xb h7 y5f ff7 fs3 fc0 sc0 ls10 ws0") wartości p
              • span (class="_ _2") od kątem zast
              • span (class="_ _2") osowanej metod
              • span (class="_ _2") ologii,
            • div (class="t m0 xb h7 y6f ff7 fs3 fc0 sc0 ls32 ws0") zasadności przyjętych założeń oraz
              • span (class="ls0") p
                • span (class="ls39"): oprawności
            • div (class="t m0 xb h7 y70 ff7 fs3 fc0 sc0 lsd ws0") danych w teście;
              • span (class="ls0")

            • div (class="t m0 xa h7 y71 ff14 fs3 fc0 sc0 ls0 ws0")

              • span (class="ff15")
                • span (class="_ _17")
                • span (class="ff7 lsc") Sprawdzenie matematyczne testu;
                  • span (class="ls0")

            • div (class="t m0 xa h7 y72 ff14 fs3 fc0 sc0 ls0 ws0")

              • span (class="ff15")
                • span (class="_ _17")
                • span (class="ff7 lsc") Sprawdzenie porównania wartości
                  • span (class="_ _2") odzyskiwalnej
                  • span (class="ls0")
                    • span (class="ls32"): z
            • div (class="t m0 xb h7 y73 ff7 fs3 fc0 sc0 ls10 ws0") wartością
              • span (class="_ _2") księgową tes
              • span (class="_ _2") towanych akty
              • span (class="_ _2") wów
              • span (class="ls0")

            • div (class="t m0 xa h7 y74 ff14 fs3 fc0 sc0 ls0 ws0")

              • span (class="ff15")
                • span (class="_ _17")
                • span (class="ff7 ls3a") Weryfika
                  • span (class="_ _2") cja ujawn
                  • span (class="_ _2") ień dot
                  • span (class="_ _2") yczących
                  • span (class="_ _2") testów na
                  • span (class="_ _2")
            • div (class="t m0 xb h7 y75 ff7 fs3 fc0 sc0 lsd ws0") utratę
              • span (class="ls0")
                • span (class="ls10") wartości w
                  • span (class="_ _2") sprawozdania
                  • span (class="_ _2") ch finansowy
                  • span (class="_ _2") ch
                  • span (class="ls0")
            • div (class="t m0 x9 h7 y76 ff7 fs3 fc0 sc0 ls0 ws0")
            • div (class="t m0 x9 h7 y77 ff7 fs3 fc0 sc0 ls0 ws0")
          • div (class="t m0 x2 hd y78 ff16 fs7 fc0 sc0 ls0 ws0")
        • div (class="pi")
      • div (class="pf w0 h0", id="pf3")
        • div (class="pc pc3 w0 h0")
          • img (alt="", class="bi x0 y79 w6 h14", 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")
          • div (class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0")
          • div (class="t m0 x2 h10 y3d ff4 fs1 fc0 sc0 ls0 ws0")
            • span (class="_ _3")
            • span (class="_ _3")
          • div (class="t m0 x2 h7 y3e ff4 fs1 fc0 sc0 ls0 ws0")
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            • span (class="lsa")
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              • span (class="ff5 fc1")
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            • span (class="_ _0") Zarządu i
            • span (class="_ _0") Rady Nadzorczej
            • span (class="_ _0") za sprawozdani
            • span (class="_ _0") e finansowe
            • span (class="ls0")
          • div (class="t m0 x2 he y7a fff fs8 fc0 sc0 ls1d ws0") Zarząd
            • span (class="_ _1") Spółki
            • span (class="_ _1") jest
            • span (class="_ _1") odpowiedzialny
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            • span (class="_ _1") sporządzenie
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            • span (class="_ _1") podstawie
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          • div (class="t m0 x2 he y7b fff fs8 fc0 sc0 ls1e ws0") rachunkowych,
            • span (class="_ _11") sprawozdania
            • span (class="_ _11") finansowego,
            • span (class="_ _11") które
            • span (class="_ _18") przedstawia
            • span (class="_ _11") rzetelny
            • span (class="_ _18") i
            • span (class="_ _11") jasny
            • span (class="_ _18") obraz
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          • div (class="t m0 x2 he y7c fff fs8 fc0 sc0 ls3b ws0") majątkowe
            • span (class="_ _0") j
            • span (class="_ _6") i
            • span (class="_ _6") finan
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            • span (class="_ _6") wy
            • span (class="_ _0") niku
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            • span (class="_ _6") Sp
            • span (class="_ _0") ółki
            • span (class="_ _6") zgo
            • span (class="_ _0") dnie
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            • span (class="_ _6") Międ
            • span (class="_ _0") zynaro
            • span (class="ls1c") dowymi
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          • div (class="t m0 x2 he y14 fff fs8 fc0 sc0 ls1a ws0") Sprawozdawczości
            • span (class="_ _d") Finansowej
            • span (class="_ _9")
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              • span (class="_ _d") U
              • span (class="_ _2") nię
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                • span (class="_ _0") opejsk
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                    • span (class="_ _d") zasa
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          • div (class="t m0 x2 he y7d fff fs8 fc0 sc0 ls1f ws0") (polityką)
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            • span (class="_ _2") iązującymi
            • span (class="_ _1") Spółkę
            • span (class="_ _0") przepisami
            • span (class="_ _1") prawa
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            • span (class="ls0")
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                  • span (class="_ _0") także
          • div (class="t m0 x2 he y7e fff fs8 fc0 sc0 ls1f ws0") za
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                  • span (class="_ _9") aby
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          • div (class="t m0 x2 he y7f fff fs8 fc0 sc0 ls20 ws0") sprawozdania finansowego niezawierającego istotnego zniekształcenia
            • span (class="_ _0") spowodowanego oszustwem
          • div (class="t m0 x2 he y80 fff fs8 fc0 sc0 ls21 ws0") lub błędem.
            • span (class="ls0")
          • div (class="t m0 x2 he y49 fff fs8 fc0 sc0 ls1a ws0") Sporządzając
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          • div (class="t m0 x2 he y82 fff fs8 fc0 sc0 ls0 ws0") z
            • span (class="ls1b") kontynuacją
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          • div (class="t m0 x2 he y85 fff fs8 fc0 sc0 ls21 ws0") lub zaniechania
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          • div (class="t m0 x2 he y87 fff fs8 fc0 sc0 ls8 ws0") finansowe
            • span (class="_ _11") spełniało
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          • div (class="t m0 x2 he y88 fff fs8 fc0 sc0 ls22 ws0") Nadzorczej są odpowie
            • span (class="_ _0") dzialni za nadzor
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            • span (class="_ _0") wczości finans
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              • span (class="ls0")
          • div (class="t m0 x2 he y89 ffe fs8 fc0 sc0 ls17 ws0") Odpowiedzialność
            • span (class="_ _0") biegłego re
            • span (class="_ _0") widenta za bada
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          • div (class="t m0 x2 he y8a fff fs8 fc0 sc0 ls22 ws0") Naszymi
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            • span (class="_ _0") yskanie
            • span (class="_ _18") racjonalnej
            • span (class="_ _18") pewności
            • span (class="_ _18") czy
            • span (class="_ _18") sprawozdanie
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            • span (class="_ _18") jako
            • span (class="_ _18") całość
            • span (class="ls0")
          • div (class="t m0 x2 he y8b fff fs8 fc0 sc0 ls22 ws0") nie
            • span (class="_ _18") zawiera
            • span (class="_ _18") istotnego
            • span (class="_ _18") zniekszt
            • span (class="_ _0") ałcenia
            • span (class="_ _18") spowodowanego
            • span (class="_ _18") oszustwem
            • span (class="_ _18") lub
            • span (class="_ _18") błędem
            • span (class="_ _18") oraz
            • span (class="_ _18") wydanie
          • div (class="t m0 x2 he y8c fff fs8 fc0 sc0 ls20 ws0") sprawozdania
            • span (class="_ _1") z
            • span (class="_ _0") badania
            • span (class="_ _1") zawierającego
            • span (class="_ _1") naszą
            • span (class="_ _1") opinię.
            • span (class="_ _0") Racjonalna
            • span (class="_ _1") pewność
            • span (class="_ _1") jest
            • span (class="_ _1") wysoki
            • span (class="ls3b") m
              • span (class="_ _1") poziomem
          • div (class="t m0 x2 he y8d fff fs8 fc0 sc0 ls1c ws0") pewności, ale ni
            • span (class="_ _0") e gwarantuje,
            • span (class="_ _0") że badanie prze
            • span (class="_ _0") prowadzone zgodnie z
            • span (class="_ _0") KSB zawsze
            • span (class="_ _0") wykryje istniej
            • span (class="_ _0") ące
          • div (class="t m0 x2 he y25 fff fs8 fc0 sc0 ls21 ws0") istotne
            • span (class="_ _7") zniekształcenie.
            • span (class="_ _7") Zniekształcen
            • span (class="_ _2") ia
            • span (class="_ _7") mogą
            • span (class="_ _7") powstawać
            • span (class="_ _7") na
            • span (class="_ _7") skutek
            • span (class="_ _7") oszustwa
            • span (class="_ _7") lub
            • span (class="_ _7") błędu
            • span (class="_ _7") i
            • span (class="ls0")
              • span (class="_ _2")
              • span (class="ls20") są
                • span (class="_ _7") uważane
          • div (class="t m0 x2 he y26 fff fs8 fc0 sc0 ls1f ws0") za
            • span (class="_ _11") istotne,
            • span (class="_ _11") jeżeli
            • span (class="_ _11") można
            • span (class="_ _11") racjonalnie
            • span (class="_ _11") oczekiwać,
            • span (class="_ _11") że
            • span (class="_ _18")
            • span (class="ls1c") pojedynczo
              • span (class="_ _11") lub
              • span (class="_ _11") łącznie
              • span (class="_ _18") mogłyby
              • span (class="_ _11") wpłynąć
              • span (class="ls0")
          • div (class="t m0 x2 he y8e fff fs8 fc0 sc0 ls22 ws0") na decyzje gospodarcz
            • span (class="_ _0") e użytkowników podjęte
            • span (class="_ _0") na podstawie tego s
            • span (class="_ _0") prawozdania finansowego.
            • span (class="ls0")
          • div (class="t m0 x2 he y8f fff fs8 fc0 sc0 ls22 ws0") Koncepcja
            • span (class="_ _d") i
            • span (class="_ _0") stotności
            • span (class="_ _16") stosowana
            • span (class="_ _d") j
            • span (class="_ _0") est
            • span (class="_ _d") przez
            • span (class="_ _0")
            • span (class="_ _d") biegłego
            • span (class="_ _16") rewidenta
            • span (class="_ _16") zarówno
            • span (class="_ _d") przy
            • span (class="_ _16") planowaniu
          • div (class="t m0 x2 he y90 fff fs8 fc0 sc0 ls0 ws0") i
            • span (class="ls1c") przeprowadzaniu
              • span (class="_ _1") badania
              • span (class="_ _10") jak
              • span (class="_ _1") i
              • span (class="_ _10") przy
              • span (class="_ _1") ocenie
              • span (class="_ _1") wpł
              • span (class="_ _0") ywu
              • span (class="_ _1") rozpoznanyc
              • span (class="_ _0") h
              • span (class="_ _1") podczas
              • span (class="_ _10") badania
              • span (class="_ _1") zniekształc
              • span (class="_ _0") eń
          • div (class="t m0 x2 he y91 fff fs8 fc0 sc0 ls1a ws0") oraz
            • span (class="_ _c") nieskorygowanych
            • span (class="_ _6") znie
            • span (class="_ _0") kształceń,
            • span (class="_ _c") jeśli
            • span (class="_ _c") występują,
            • span (class="_ _c") na
            • span (class="_ _c") sprawozdanie
            • span (class="_ _6") f
            • span (class="_ _0") inanso
            • span (class="ls2a") we,
              • span (class="_ _c") a
              • span (class="_ _c") także
              • span (class="_ _c") przy
          • div (class="t m0 x2 he y92 fff fs8 fc0 sc0 ls8 ws0") formułowaniu
            • span (class="_ _10") opinii
            • span (class="_ _10") biegłeg
            • span (class="_ _2") o
            • span (class="_ _10") rewidenta.
            • span (class="_ _10") W
            • span (class="_ _10") związku
            • span (class="_ _10") z
            • span (class="_ _10") powyższym
            • span (class="_ _10") wszystkie
            • span (class="_ _10") opinie
            • span (class="_ _10") i
            • span (class="_ _10") stwierdzenia
          • div (class="t m0 x2 he y93 fff fs8 fc0 sc0 ls1f ws0") zawarte
            • span (class="_ _1") w
            • span (class="_ _10") sprawozdaniu
            • span (class="_ _1") z
            • span (class="_ _1") badania
            • span (class="_ _1") są
            • span (class="_ _10") wyrażane
            • span (class="_ _1") z
            • span (class="_ _10") uwzględn
            • span (class="_ _2") ieniem
            • span (class="_ _1") jakościowego
            • span (class="_ _1") i
            • span (class="_ _0")
            • span (class="ls0")
              • span (class="_ _1")
              • span (class="ls2a") war
                • span (class="_ _0") tościowego
          • div (class="t m0 x2 he y94 fff fs8 fc0 sc0 ls1c ws0") poziomu
            • span (class="_ _5") istotności
            • span (class="_ _5") ustalonego
            • span (class="_ _5") zgodnie
            • span (class="_ _c") ze
            • span (class="_ _5") standardami
            • span (class="_ _5") b
            • span (class="ls1a") adania
              • span (class="_ _5") i
              • span (class="_ _5") zawodowym
              • span (class="_ _c") osądem
              • span (class="_ _5") biegłego
          • div (class="t m0 x2 he y95 fff fs8 fc0 sc0 ls1e ws0") rewidenta
            • span (class="ls0"): .
          • div (class="t m0 x2 he y96 fff fs8 fc0 sc0 ls1d ws0") Zakres
            • span (class="_ _5") badania
            • span (class="_ _5") nie
            • span (class="_ _e") obejmuje
            • span (class="_ _5") zapewnienia
            • span (class="_ _5") co
            • span (class="_ _5") do
            • span (class="_ _5") przyszł
            • span (class="_ _0") ej
            • span (class="_ _5") rentowności
            • span (class="_ _5") Spółk
            • span (class="_ _0") i
            • span (class="_ _5") ani
            • span (class="_ _5")
            • span (class="ls29"): efektywności
          • div (class="t m0 x2 he y97 fff fs8 fc0 sc0 ls21 ws0") lub
            • span (class="ls0")
              • span (class="ls20") skuteczności prowadzenia jej spraw przez Z
                • span (class="_ _2") arząd Spółki obecnie lub w przyszłości
                • span (class="ls0"): .
          • div (class="t m0 x2 he y98 fff fs8 fc0 sc0 ls18 ws0") Podczas badania
            • span (class="_ _7") zgodnego z
            • span (class="_ _2") KSB stosujemy
            • span (class="_ _7") zawodowy osąd i
            • span (class="_ _7") zachowujemy zawodowy
            • span (class="_ _7") sc
            • span (class="_ _0") eptycyzm,
          • div (class="t m0 x2 he y99 fff fs8 fc0 sc0 ls1a ws0") a także:
            • span (class="ls0")
          • div (class="t m0 x5 he y9a ff10 fs8 fc0 sc0 ls0 ws0") •
            • span (class="ff11")
              • span (class="_ _a")
              • span (class="fff ls21") identyfikujemy
                • span (class="_ _9") i
                • span (class="_ _9") oceniamy
                • span (class="_ _9") ryzyka
                • span (class="_ _9") istotnego
                • span (class="_ _19") zniekształcenia
                • span (class="_ _9") sprawozdania
                • span (class="_ _9") finansowego
          • div (class="t m0 x6 he y9b fff fs8 fc0 sc0 ls20 ws0") spowodowanego
            • span (class="_ _1") oszustwem
            • span (class="_ _1") lub
            • span (class="_ _10") błędem,
            • span (class="_ _1") projektujemy
            • span (class="_ _10") i
            • span (class="_ _1") przeprowadzamy
            • span (class="_ _1") procedury
            • span (class="_ _10") badania
          • div (class="t m0 x6 he y9c fff fs8 fc0 sc0 ls1a ws0") odpowiadające
            • span (class="_ _d") tym
            • span (class="_ _d") ryzykom
            • span (class="_ _d") i
            • span (class="_ _d") uzyskujemy
            • span (class="_ _d") dowody
            • span (class="_ _d") badania,
            • span (class="_ _0")
            • span (class="_ _d") które
            • span (class="_ _d") są
            • span (class="ls0")
              • span (class="_ _d")
              • span (class="ls2a") wystar
                • span (class="_ _0") czające
          • div (class="t m0 x6 he y9d fff fs8 fc0 sc0 ls21 ws0") i
            • span (class="_ _18") odpowiednie,
            • span (class="_ _11") aby
            • span (class="_ _18") stanowić
            • span (class="_ _18") podstawę
            • span (class="_ _18") dla
            • span (class="_ _18") naszej
            • span (class="_ _18") opinii.
            • span (class="_ _11") Ryzyko
            • span (class="_ _18") niewykrycia
            • span (class="_ _18") istotnego
          • div (class="t m0 x6 he y9e fff fs8 fc0 sc0 ls1f ws0") zniekształcenia wynikającego
            • span (class="_ _7") z oszustwa jest większe niż
            • span (class="_ _2") tego wynikającego
            • span (class="_ _2") z błędu, po
            • span (class="_ _2") nieważ
          • div (class="t m0 x6 he y9f fff fs8 fc0 sc0 ls1a ws0") oszustwo może
            • span (class="_ _11") dotyczyć
            • span (class="_ _11") zmowy, fałszerstwa,
            • span (class="_ _11") celowych
            • span (class="_ _11") pominięć, w
            • span (class="ls1c") prowadzenia
              • span (class="_ _11") w błąd
              • span (class="ls0")
          • div (class="t m0 x6 he ya0 fff fs8 fc0 sc0 ls21 ws0") lub
            • span (class="ls1a") obejścia kontroli wewnętrznej
              • span (class="ls0"): ;
          • div (class="t m0 x5 he ya1 ff10 fs8 fc0 sc0 ls0 ws0") •
            • span (class="ff11")
              • span (class="_ _a")
              • span (class="fff ls22") uzyskujemy
                • span (class="_ _1") z
                • span (class="_ _0") rozumienie
                • span (class="_ _10") kontroli
                • span (class="_ _1") wewnętrznej
                • span (class="_ _10") stosownej
                • span (class="_ _1") dl
                • span (class="_ _0") a
                • span (class="_ _1") badania
                • span (class="_ _10") w
                • span (class="_ _1") celu
                • span (class="_ _10") zaprojektowania
          • div (class="t m0 x6 he ya2 fff fs8 fc0 sc0 ls1c ws0") procedur
            • span (class="_ _10") badania,
            • span (class="_ _1") które
            • span (class="_ _10") są
            • span (class="_ _1") odpowi
            • span (class="_ _0") ednie
            • span (class="_ _10") w
            • span (class="_ _1") danych
            • span (class="_ _10") okolicznościach,
            • span (class="_ _10") ale
            • span (class="ls0")
              • span (class="_ _1")
              • span (class="ls22"): nie
              • span (class="_ _10")
              • span (class="ls2a") w
                • span (class="_ _1") celu
                • span (class="_ _10") wyrażenia
          • div (class="t m0 x6 he ya3 fff fs8 fc0 sc0 ls1a ws0") opinii na temat skuteczności kontroli
            • span (class="_ _0") wewnętrznej Spółki;
            • span (class="ls0")
        • div (class="pi")
      • div (class="pf w0 h0", id="pf4")
        • div (class="pc pc4 w0 h0")
          • img (alt="", class="bi x0 ya4 w7 h15", 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          • div (class="t m0 x5 he y3f ff10 fs8 fc0 sc0 ls0 ws0") •
            • span (class="ff11")
              • span (class="_ _a")
              • span (class="fff ls1a") oceniamy
                • span (class="_ _b") odpowiedniość
                • span (class="_ _1a") zastos
                • span (class="_ _0") owanych
                • span (class="_ _b") zasad
                • span (class="_ _1a") (polityki)
                • span (class="_ _0")
                • span (class="_ _b") rachunkowości
                • span (class="_ _1a") oraz
                • span (class="_ _b") zasadność
          • div (class="t m0 x6 he y40 fff fs8 fc0 sc0 ls20 ws0") szacunków księgowych oraz powiązan
            • span (class="_ _2") ych ujawnień dokonanych przez Zarząd S
            • span (class="_ _2") półki;
            • span (class="ls0")
          • div (class="t m0 x5 he ya5 ff10 fs8 fc0 sc0 ls0 ws0") •
            • span (class="ff11")
              • span (class="_ _a")
              • span (class="fff ls2a") wyciągamy
                • span (class="_ _18") wniosek
                • span (class="_ _18") na
                • span (class="_ _18") temat
                • span (class="_ _18") odpowiednio
                • span (class="_ _0") ści
                • span (class="_ _18") zastosowania
                • span (class="_ _18") prze
                • span (class="_ _0") z
                • span (class="_ _18") Zarząd
                • span (class="_ _18") Spółki
                • span (class="_ _18") zasady
          • div (class="t m0 x6 he ya6 fff fs8 fc0 sc0 ls1b ws0") kontynuacji
            • span (class="_ _7") działalności
            • span (class="_ _7") jako
            • span (class="_ _7") podstawy
            • span (class="_ _7") rachunkowości
            • span (class="_ _7") oraz,
            • span (class="_ _7") na
            • span (class="_ _14") podstawie
            • span (class="_ _7") uzyskanych
            • span (class="_ _7") dowodów
          • div (class="t m0 x6 he ya7 fff fs8 fc0 sc0 ls1c ws0") badania,
            • span (class="_ _1") czy
            • span (class="_ _1") istnieje
            • span (class="_ _1") istotna
            • span (class="_ _1") niepewność
            • span (class="_ _1") związana
            • span (class="_ _0") ze
            • span (class="_ _1") zdarzeniami
            • span (class="_ _1") lub
            • span (class="_ _1") warunkami,
            • span (class="_ _1") któ
            • span (class="ls1e") ra
              • span (class="_ _1") mo
              • span (class="_ _2") że
          • div (class="t m0 x6 he ya8 fff fs8 fc0 sc0 ls1c ws0") poddawać
            • span (class="_ _14") w
            • span (class="_ _7") znaczącą
            • span (class="_ _7") wątpliwość
            • span (class="_ _14") z
            • span (class="_ _0") dolność
            • span (class="_ _7") Spółki
            • span (class="_ _14") do
            • span (class="_ _7") kontynuacji
            • span (class="_ _7") działalności.
            • span (class="_ _7") Jeżeli
            • span (class="_ _14") doc
            • span (class="_ _0") hodzimy
          • div (class="t m0 x6 he ya9 fff fs8 fc0 sc0 ls1c ws0") do wniosku,
            • span (class="_ _0") że
            • span (class="_ _0") istniej
            • span (class="_ _0") e ist
            • span (class="_ _0") otna ni
            • span (class="_ _0") epewność,
            • span (class="_ _0") wymagane jest
            • span (class="_ _0") od
            • span (class="_ _0") nas
            • span (class="_ _0") zwrócenie
            • span (class="_ _0") uwagi
            • span (class="_ _0") w
            • span (class="_ _0") naszym
          • div (class="t m0 x6 he yaa fff fs8 fc0 sc0 ls20 ws0") sprawozdaniu biegłego
            • span (class="_ _11") rewidenta na
            • span (class="_ _11") powiązane ujawnienia w
            • span (class="_ _11") sprawo
            • span (class="ls1f") zdaniu finansowym
              • span (class="ls0")
          • div (class="t m0 x6 he yab fff fs8 fc0 sc0 ls21 ws0") lub, jeżeli takie uja
            • span (class="_ _2") wnienia są niead
            • span (class="_ _2") ekwatne, mody
            • span (class="_ _2") fikujemy naszą o
            • span (class="_ _2") pinię. Nasze wnio
            • span (class="_ _2") ski
            • span (class="ls0")
          • div (class="t m0 x6 he yac fff fs8 fc0 sc0 ls20 ws0") są
            • span (class="_ _e") oparte
            • span (class="_ _e") na
            • span (class="_ _e") dowodach
            • span (class="_ _5") badania
            • span (class="_ _e") uzyskanych
            • span (class="_ _e") do
            • span (class="_ _e") dnia
            • span (class="_ _e") sporządzenia
            • span (class="_ _5") naszego
            • span (class="_ _e") sprawozdania
          • div (class="t m0 x6 he yad fff fs8 fc0 sc0 ls1c ws0") biegłego
            • span (class="_ _6") rewidenta,
            • span (class="_ _c") jednakże
            • span (class="_ _6") przyszłe
            • span (class="_ _6") zdar
            • span (class="_ _0") zenia
            • span (class="_ _6") lub
            • span (class="_ _6") warunki
            • span (class="_ _6") mogą
            • span (class="_ _c") spowodować,
            • span (class="_ _6") że
            • span (class="_ _6") Spółka
          • div (class="t m0 x6 he yae fff fs8 fc0 sc0 ls1f ws0") zaprzestanie kontynuacji działalności;
            • span (class="ls0")
          • div (class="t m0 x5 he yaf ff10 fs8 fc0 sc0 ls0 ws0") •
            • span (class="ff11")
              • span (class="_ _a")
              • span (class="fff ls1a") oceniamy
                • span (class="_ _1b") ogólną
                • span (class="_ _1b") prezentację,
                • span (class="_ _1b") strukturę
                • span (class="_ _1b") i
                • span (class="_ _1b") zawar
                • span (class="_ _0") tość
                • span (class="_ _1b") sprawozdania
                • span (class="_ _1b")
                • span (class="ls8"): finansowego,
          • div (class="t m0 x6 he yb0 fff fs8 fc0 sc0 ls0 ws0") w
            • span (class="ls8"): tym
            • span (class="ls22") ujawnienia,
              • span (class="_ _b") oraz
              • span (class="_ _b") czy
              • span (class="_ _b") sprawozdanie
              • span (class="_ _b") f
              • span (class="_ _0") inansowe
              • span (class="_ _b") przedstawia
              • span (class="_ _b") będą
              • span (class="_ _0") ce
              • span (class="_ _b") ich
              • span (class="_ _b") podstawą
          • div (class="t m0 x6 he yb1 fff fs8 fc0 sc0 ls8 ws0") transakcje i zdarzen
            • span (class="_ _2") ia w sposób zap
            • span (class="_ _2") ewniający rzetelną
            • span (class="_ _2") prezentację
            • span (class="ls0"): .
          • div (class="t m0 x2 he yb2 fff fs8 fc0 sc0 ls18 ws0") Przekazujemy Radzie
            • span (class="_ _11") Nadzorczej i
            • span (class="_ _0") nformacje o,
            • span (class="_ _11") między innymi,
            • span (class="_ _11") planowanym zakresie
            • span (class="_ _11") i czasie
          • div (class="t m0 x2 he y4d fff fs8 fc0 sc0 ls1c ws0") przeprowadzenia
            • span (class="_ _11") badania
            • span (class="_ _18") oraz
            • span (class="_ _11") znaczących
            • span (class="_ _11") ustal
            • span (class="_ _0") eniach
            • span (class="_ _11") badania,
            • span (class="_ _11") w
            • span (class="_ _18") tym
            • span (class="_ _11") wszelkich
            • span (class="_ _11") znacząc
            • span (class="_ _0") ych
          • div (class="t m0 x2 he y4e fff fs8 fc0 sc0 ls20 ws0") słabościach kontroli wewnętrznej, które zidentyfikujemy pod
            • span (class="_ _2") czas badania.
            • span (class="ls0")
          • div (class="t m0 x2 he yb3 fff fs8 fc0 sc0 ls1a ws0") Składamy
            • span (class="_ _6") Radzie
            • span (class="_ _6") Nadzorczej
            • span (class="_ _6") oświadczenie,
            • span (class="_ _6") że
            • span (class="_ _6") przestr
            • span (class="_ _0") zegaliśmy
            • span (class="_ _6") stosownych
            • span (class="_ _6") wymogów
            • span (class="_ _6") etycznych
          • div (class="t m0 x2 he yb4 fff fs8 fc0 sc0 ls1c ws0") dotyczących
            • span (class="_ _6") niezależności
            • span (class="_ _0")
            • span (class="_ _6") oraz,
            • span (class="_ _6") że
            • span (class="_ _6") będziemy
            • span (class="_ _6") informować
            • span (class="_ _6") ich
            • span (class="_ _6") o
            • span (class="_ _6") wszystkich
            • span (class="_ _6") powiązani
            • span (class="_ _0") ach
            • span (class="_ _6") i
            • span (class="_ _6") innych
          • div (class="t m0 x2 he yb5 fff fs8 fc0 sc0 ls20 ws0") sprawach, które
            • span (class="_ _7") mogłyby być racjonalnie
            • span (class="_ _2") uznane za
            • span (class="_ _7") stanowiące zagrożenie
            • span (class="ls1c"): dla naszej niezależności,
          • div (class="t m0 x2 he yb6 fff fs8 fc0 sc0 ls1a ws0") a tam gdzie ma to zastosowanie, informujemy o zastosowanych zabe
            • span (class="_ _0") zpieczeniach.
            • span (class="ls0")
          • div (class="t m0 x2 he yb7 fff fs8 fc0 sc0 ls1a ws0") Spośród
            • span (class="_ _c") spr
            • span (class="_ _0") aw
            • span (class="_ _c") przekaz
            • span (class="_ _0") ywanych
            • span (class="_ _c") Radzie
            • span (class="_ _5") Nadzorczej
            • span (class="_ _5") ustaliliśmy
            • span (class="_ _c") te
            • span (class="_ _0")
            • span (class="_ _c") sprawy,
            • span (class="_ _0")
            • span (class="_ _c") które
            • span (class="_ _0")
            • span (class="_ _c") były
            • span (class="_ _5") najbardziej
          • div (class="t m0 x2 he yb8 fff fs8 fc0 sc0 ls1f ws0") znaczące
            • span (class="_ _10") podczas
            • span (class="_ _6") badania
            • span (class="_ _6") sprawozdania
            • span (class="_ _10") finansowego
            • span (class="_ _10") za
            • span (class="_ _6") bieżący
            • span (class="_ _6") okres
            • span (class="_ _6") sprawozdawczy
            • span (class="_ _10") i
            • span (class="_ _6") dlatego
          • div (class="t m0 x2 he yb9 fff fs8 fc0 sc0 ls22 ws0") uznaliśmy
            • span (class="_ _1") je
            • span (class="_ _1") za
            • span (class="_ _1") kluczowe
            • span (class="_ _0") s
            • span (class="_ _0") prawy
            • span (class="_ _1") badania.
            • span (class="_ _1") Opisujemy
            • span (class="_ _1") te
            • span (class="_ _0") spr
            • span (class="_ _0") awy
            • span (class="_ _1") w
            • span (class="_ _1") naszym
            • span (class="_ _0") sp
            • span (class="ls1e") rawozdaniu
              • span (class="_ _0") biegłego
          • div (class="t m0 x2 he yba fff fs8 fc0 sc0 ls1e ws0") rewidenta,
            • span (class="_ _1") chyba
            • span (class="_ _10") że
            • span (class="_ _10") przepisy
            • span (class="_ _10") prawa
            • span (class="_ _1") lub
            • span (class="_ _10") regulacje
            • span (class="_ _10") zabrania
            • span (class="_ _2") ją
            • span (class="_ _10") publicznego
            • span (class="_ _1") ich
            • span (class="_ _10") ujawnienia
            • span (class="_ _10") lub
            • span (class="_ _1") gdy,
            • span (class="ls0")
          • div (class="t m0 x2 he ybb fff fs8 fc0 sc0 ls2a ws0") w
            • span (class="_ _c") wyjątkowych
            • span (class="_ _c") okolicz
            • span (class="_ _0") nościach,
            • span (class="_ _c") ustal
            • span (class="_ _0") imy,
            • span (class="_ _c") że
            • span (class="_ _c") kwestia
            • span (class="_ _c") nie
            • span (class="_ _c") powi
            • span (class="_ _0") nna
            • span (class="_ _c") być
            • span (class="_ _c") przedstawiona
            • span (class="_ _0")
            • span (class="_ _c") w
            • span (class="_ _6") n
            • span (class="_ _0") aszym
          • div (class="t m0 x2 he ybc fff fs8 fc0 sc0 ls20 ws0") sprawozdaniu,
            • span (class="_ _b") ponieważ
            • span (class="_ _1a") można
            • span (class="_ _b") byłoby
            • span (class="_ _b") racjonalnie
            • span (class="_ _b")
            • span (class="ls1a") oczekiwać,
              • span (class="_ _b") że
              • span (class="_ _8") negatywne
              • span (class="_ _b") konsekwencje
          • div (class="t m0 x2 he ybd fff fs8 fc0 sc0 ls1c ws0") przeważyłyby korzyści
            • span (class="_ _0") takiej informacji
            • span (class="_ _0") dla interesu publicz
            • span (class="_ _0") nego.
            • span (class="ls0")
          • div (class="t m0 x2 he ybe ffe fs8 fc0 sc0 ls3c ws0") Inne informacje, w tym sp
            • span (class="_ _2") rawozdanie z działalności
            • span (class="ls0")
          • div (class="t m0 x2 he ybf fff fs8 fc0 sc0 ls22 ws0") Na
            • span (class="_ _5") inne
            • span (class="_ _e") informacje
            • span (class="_ _e") składa
            • span (class="_ _5") się
            • span (class="_ _e") sprawozdanie
            • span (class="_ _e") z
            • span (class="_ _5") działal
            • span (class="_ _0") ności
            • span (class="_ _e") Spółki
            • span (class="_ _5") za
            • span (class="_ _e") rok
            • span (class="_ _5") obrotowy
            • span (class="_ _e") zakończony
          • div (class="t m0 x2 he yc0 fff fs8 fc0 sc0 ls1d ws0") 31
            • span (class="ls0")
              • span (class="ls1c") grudnia
                • span (class="_ _c") 2023
            • span (class="_ _5")
            • span (class="ls1e") roku
              • span (class="_ _6") („sprawozdanie
              • span (class="_ _c") z
              • span (class="_ _c") działalności”)
              • span (class="_ _c") wraz
              • span (class="_ _5") z
              • span (class="_ _c") oświadczeniem
              • span (class="_ _6") o
              • span (class="_ _5") stosowaniu
              • span (class="_ _2")
              • span (class="_ _c") ładu
          • div (class="t m0 x2 he yc1 fff fs8 fc0 sc0 ls1b ws0") korporacyjnego,
            • span (class="_ _0") kt
            • span (class="_ _0") óre
            • span (class="_ _0") s
            • span (class="_ _0") ą
            • span (class="_ _0") wyodrębnionymi
            • span (class="_ _1") częściami
            • span (class="_ _0") tego
            • span (class="_ _1") sprawozdania
            • span (class="_ _0") oraz
            • span (class="_ _1") Raport
            • span (class="_ _0") Roczny
            • span (class="_ _1") za
            • span (class="_ _0") rok
          • div (class="t m0 x2 he yc2 fff fs8 fc0 sc0 ls1a ws0") obrotowy zakończony 31 grudnia
            • span (class="ls1d") 2023
              • span (class="ls1e") roku („Raport roczny”) (razem „Inn
                • span (class="_ _2") e
                • span (class="ls21") informacje”).
                  • span (class="ls0")
          • div (class="t m0 x2 he yc3 ffe fs8 fc0 sc0 ls17 ws0") Odpowiedzialność
            • span (class="_ _0") Zarządu i
            • span (class="_ _0") Rady Nadzorczej
            • span (class="ls0")
          • div (class="t m0 x2 he yc4 fff fs8 fc0 sc0 ls1d ws0") Zarząd Spółki jest odpowiedzial
            • span (class="_ _0") ny za sporządzenie
            • span (class="ls3d") Innych informacji
              • span (class="ls0")
                • span (class="ls1f"): zgodnie z
                • span (class="ls1c"): przepisami prawa.
          • div (class="t m0 x2 he yc5 fff fs8 fc0 sc0 ls1d ws0") Zarząd Spółki
            • span (class="_ _7") or
            • span (class="_ _0") az członkowie
            • span (class="_ _7") Rady Nadzorczej
            • span (class="ls20") są
              • span (class="ls0")
                • span (class="_ _7")
                • span (class="ls1f") zobowiązan
                  • span (class="ls0") i
                    • span (class="ls1c") do
                      • span (class="_ _7") zapewnieni
                      • span (class="_ _0") a, aby
                      • span (class="_ _7") sprawozdani
                      • span (class="_ _0") e z
          • div (class="t m0 x2 he yc6 fff fs8 fc0 sc0 ls1c ws0") działalności
            • span (class="ls0")
              • span (class="_ _0")
              • span (class="ls1a") Spółki
                • span (class="_ _0") wraz
                • span (class="_ _1") z wyodręb n
              • span (class="ls21"): ionymi częściami
              • span (class="_ _0")
              • span (class="ls20") spełniało wymagania
                • span (class="_ _0") przewidziane
                • span (class="_ _0") przepisami
          • div (class="t m0 x2 he yc7 fff fs8 fc0 sc0 ls1c ws0") prawa
            • span (class="ls25") .
              • span (class="ls0")
          • div (class="t m0 x2 he yc8 ffe fs8 fc0 sc0 ls17 ws0") Odpowiedzialność
            • span (class="_ _0") biegłego re
            • span (class="_ _0") widenta
            • span (class="ls0")
          • div (class="t m0 x2 he yc9 fff fs8 fc0 sc0 ls22 ws0") Nasza
            • span (class="_ _6") opinia
            • span (class="_ _10") z
            • span (class="_ _0")
            • span (class="_ _10") badani
            • span (class="_ _0") a
            • span (class="ls0")
              • span (class="_ _10")
              • span (class="ls20") sprawozdania
                • span (class="_ _10") finansowego
                • span (class="_ _6") nie
                • span (class="_ _10") obejmuje
                • span (class="_ _6") I nnych
            • span (class="_ _10")
            • span (class="ls21") informacji.
              • span (class="_ _10") W
              • span (class="ls0")
                • span (class="_ _6")
                • span (class="ls1f") związku
                  • span (class="_ _10") z
          • div (class="t m0 x2 he yca fff fs8 fc0 sc0 ls1c ws0") badaniem
            • span (class="_ _8") s
            • span (class="_ _0") prawozdania
            • span (class="_ _9") finansowego
            • span (class="_ _9") naszym
            • span (class="_ _8") obowiązki
            • span (class="_ _0") em
            • span (class="_ _8") j
            • span (class="_ _0") est
            • span (class="_ _9") zapoznanie
            • span (class="_ _9") się
            • span (class="_ _8") z
            • span (class="_ _0") e
            • span (class="ls0")
              • span (class="_ _9") I
              • span (class="ls22"): nnymi
          • div (class="t m0 x2 he ycb fff fs8 fc0 sc0 ls21 ws0") informacjami,
            • span (class="_ _18") i
            • span (class="_ _b") czyniąc
            • span (class="_ _18") to,
            • span (class="_ _1a") rozpatrzenie,
            • span (class="_ _1a") czy
            • span (class="_ _b")
            • span (class="ls3d") Inne
              • span (class="_ _18") inf
              • span (class="ls1a") or
                • span (class="ls3b") mac
                  • span (class="_ _0") je
                  • span (class="_ _1a") n
                  • span (class="_ _0") ie
                  • span (class="_ _1a") s
                  • span (class="_ _0") ą
                  • span (class="_ _1a") istotnie
            • span (class="_ _1a") niespójne
            • span (class="_ _1a") ze
            • span (class="ls0")
          • div (class="t m0 x2 he ycc fff fs8 fc0 sc0 ls20 ws0") sprawozdaniem
            • span (class="_ _7") f
            • span (class="_ _0") inansowym
            • span (class="_ _7") l
            • span (class="_ _0") ub n
            • span (class="_ _2") aszą wiedzą
            • span (class="_ _7") uzyskaną podczas
            • span (class="_ _7") badania,
            • span (class="ls0")
              • span (class="ls21") lub
                • span (class="_ _7") w inny
                • span (class="_ _2") sposób
                • span (class="_ _2")
                • span (class="ls2a"): wydają
          • div (class="t m0 x2 he ycd fff fs8 fc0 sc0 ls20 ws0") się
            • span (class="ls0")
              • span (class="ls21") istotnie
                • span (class="_ _0") zniekształcone. Jeśli na
                • span (class="_ _0") podstawie wykonanej pracy, stwierdzimy istotne
                • span (class="_ _0") zniekształcenia
          • div (class="t m0 x2 he yce fff fs8 fc0 sc0 ls2a ws0") w
            • span (class="_ _5")
            • span (class="ls0") I
              • span (class="ls22") nnych
                • span (class="_ _e") informacjach,
                • span (class="_ _e") jesteśmy
                • span (class="_ _e") zobowiązani
                • span (class="_ _e") poinformować
                • span (class="_ _5") o
                • span (class="_ _0")
                • span (class="_ _5") t
                • span (class="_ _0") ym
                • span (class="_ _5") w
              • span (class="_ _e")
              • span (class="ls22") naszym
                • span (class="_ _5") sprawozdaniu
                • span (class="_ _e") z
          • div (class="t m0 x2 he ycf fff fs8 fc0 sc0 ls1c ws0") badania.
            • span (class="_ _10") Naszym
            • span (class="_ _10") obowiązkiem
            • span (class="_ _10") zgodnie
            • span (class="_ _10") z
            • span (class="_ _10") wymogami
            • span (class="_ _10") Ustawy
            • span (class="_ _10") o
            • span (class="ls0")
              • span (class="_ _10") biegłych
            • span (class="_ _10") rewidentach
            • span (class="_ _10") j
            • span (class="_ _0") est
            • span (class="_ _10") również
        • div (class="pi")
      • div (class="pf w0 h0", id="pf5")
        • div (class="pc pc5 w0 h0")
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          • div (class="t m0 x2 he ye1 ffe fs8 fc0 sc0 ls1c ws0") Sprawozdanie na temat innych wymogów prawa i regulacji
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          • div (class="t m0 x2 he ye2 ffe fs8 fc0 sc0 ls17 ws0") Oświadczenie
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          • div (class="t m0 x2 he ye7 fff fs8 fc0 sc0 ls1c ws0") badaniem, które są zakazane na mocy art. 5 ust.1 Rozporządzenia UE oraz art.136 Ustawy
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          • div (class="t m0 x2 he ye9 fff fs8 fc0 sc0 ls22 ws0") na
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                • span (class="_ _11")
                • span (class="ls1d"): 36
          • div (class="t m0 x2 he yea fff fs8 fc0 sc0 ls1a ws0") Sprawozdania z działalności Spółki.
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          • div (class="t m0 x2 he yed fff fs8 fc0 sc0 ls1f ws0") z dnia
            • span (class="ls0")
              • span (class="ls1d"): 16 czerwca 2024 r.
          • div (class="t m0 x2 he yee fff fs8 fc0 sc0 ls22 ws0") Kluczowym
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            • span (class="_ _5") rewidentem
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          • div (class="t m0 x2 he yc9 fff fs8 fc0 sc0 ls20 ws0") sprawozdanie niezależnego biegłego rewiden
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              • span (class="ls22"): Krzysztof Gmur .
          • div (class="t m0 x2 he yef fff fs8 fc0 sc0 ls0 ws0")
          • div (class="t m0 x2 he ycc fff fs8 fc0 sc0 ls19 ws0") Działający w imie
            • span (class="_ _0") niu:
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          • div (class="t m0 x2 he y3 fff fs8 fc0 sc0 ls18 ws0") PRO AUDIT Kancelaria Biegłych Rewidentów Spółka z o.o.
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          • div (class="t m0 x2 he yf0 fff fs8 fc0 sc0 ls1f ws0") z siedzibą przy ul. E. Wasilewskiego 20, 30

            • span (class="ls0")

              • span (class="ls1d"): 305 Kraków
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        • div (class="pc pc6 w0 h0")
          • img (alt="", class="bi x0 yf1 w8 h17", 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            • span (class="ff7 fs3") 6
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