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Vala Inc. — Annual Report 2018
Mar 26, 2019
50359_rns_2019-03-26_9012df66-1f44-49ab-bb14-f476244c3ba2.pdf
Annual Report
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Hong Kong Exchanges and Clearing Limited and The Stock Exchange of Hong Kong Limited take no responsibility for the contents of this announcement, make no representation as to its accuracy or completeness and expressly disclaim any liability whatsoever for any loss howsoever arising from or in reliance upon the whole or any part of the contents of this announcement.
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51 CREDIT CARD INC. 51 信用卡有限公司
(Incorporated in the Cayman Islands with limited liability)
(Stock Code: 2051)
ANNOUNCEMENT OF ANNUAL RESULTS FOR THE YEAR ENDED 31 DECEMBER 2018
FINANCIAL HIGHLIGHTS
-
Revenue for the year ended 31 December 2018 was approximately RMB2,812.0 million, increased by 24.0% as compared to approximately RMB2,268.6 million for the corresponding period in 2017.
-
Profit for the year ended 31 December 2018 was approximately RMB2,168.8 million compared with a loss of approximately RMB1,378.5 million for the corresponding period in 2017.
-
Basic earnings per share for the year ended 31 December 2018 was approximately RMB3.84, compared with basic loss per share of approximately RMB7.90 for the corresponding period in 2017.
-
No final dividend was declared for the year ended 31 December 2018.
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MANAGEMENT DISCUSSION AND ANALYSIS
| For the year | ended | Year on | |
|---|---|---|---|
| 31 December | year change | ||
| 2018 | 2017 | % | |
| RMB’ 000 | RMB’000 | ||
| Revenue | 2,811,994 | 2,268,580 | 24.0% |
| Profit/(loss) for the year | 2,168,767 | (1,378,471) | N/A |
BUSINESS REVIEW
51 Credit Card Inc. (the “ Company ”) together with its subsidiaries (collectively, the “ Group ” or “ We ”) has created a comprehensive ecosystem built upon a widely-used credit card management platform, 51 Credit Card Manager App (“ 51 Credit Card Manager App ”). We are endowed with competitive advantages by owning a highly valuable user base.
| As of | As of | Increase | |
|---|---|---|---|
| 31 December | 31 December | ||
| 2018 | 2017 | % | |
| (million) | (million) | ||
| Number of registered users of | |||
| 51 Credit Card Manager App | 75.9 | 62.0 | 22.4% |
| Number of credit cards we have | |||
| managed cumulatively | 123.0 | 106.3 | 15.7% |
| For the year ended | Increase | ||
| 31 December | |||
| 2018 | 2017 | % | |
| (RMB in | (RMB in | ||
| billions) | billions) | ||
| Transaction volume of repayment of | |||
| credit card bills and other liabilities | |||
| through 51 Credit Card Manager App | 187.2 | 109.1 | 71.6% |
2
As of 31 December 2018, the number of registered users of 51 Credit Card Manager App grew 22.4% to approximately 75.9 million from approximately 62.0 million as of 31 December 2017 and the number of credit cards we had managed accumulatively also grew to approximately 123.0 million from approximately 106.3 million as of 31 December 2017. With the continuous growth of users, we facilitated credit card bills and other liabilities repayment transactions totaling approximately RMB187.2 billion in 2018, representing an increase of 71.6% year on year, notwithstanding the reduction in the repayment incentives during the second half of 2018, which represents high stickiness of our users.
Our unique business model is highly competitive and has great growth potential in attracting credit card holders and converting them into users of various comprehensive services we provide.
Most of our users are credit card holders. They are credit active, accustomed to higher levels of consumption and are willing to pay interest to satisfy their consumption needs. In 2018, the credit card consumption amount by users who continuously manage credit cards on our platform, was observed to sustain an upward trend. We have also accumulated a wealth of valuable data through our credit card management services, which includes credit card transaction records from different banks, consumption history across different users’ cases, and repayment data throughout users’ life cycles. On this basis, we offer various services to users on the platform, including personal credit management service, credit card technology service, and online credit facilitation and investment service.
| Revenue Credit facilitation and service fee Credit card technology service fee Loan referral service fee Other revenue Profit/(loss) for the year |
For the year ended 31 December 2018 2017 RMB’ 000 % of revenue RMB’000 % of revenue 2,811,994 100.0% 2,268,580 100.0% 2,055,531 73.1% 1,627,324 71.7% 255,676 9.1% 140,382 6.2% 203,061 7.2% 189,327 8.4% 297,726 10.6% 311,547 13.7% 2,168,767 (1,378,471) |
Year on year change % 24.0% 26.3% 82.1% 7.3% -4.4% N/A |
|---|---|---|
3
In 2018, we adopted a more prudent and steady strategy in credit facilitation business as we observed that the personal online consumer credit market had experienced rounds of short-term volatilities, with the issue of various regulatory policies at the end of 2017, the disorderly exit of some non-compliant P2P platforms and wealth management companies in mid-2018, and macroeconomic fluctuations. Therefore, in 2018, we focused more on serving credit card holders and improving our risk management capabilities, while maintaining our borrowers’ overall borrowing cost at a stable level in general. Thus, we achieved better performance in credit facilitation business in 2018, which enabled us to generate higher revenue from credit facilitation business. Credit facilitation and service fee increased by 26.3% in 2018, as compared to that of 2017.
| For the year ended | Increase | ||
|---|---|---|---|
| 31 December | |||
| 2018 | 2017 | % | |
| Number of credit cards issued through us | |||
| (million) | 2.7 | 2.1 | 28.6% |
| Number of partner banks in credit card | |||
| technology service | 24 | 19 | 26.3% |
We also have substantial growth in our credit card technology service fee. Benefited from continuous growth in number of users, introduction of new partner banks and improvement of efficiency caused by technology application, approximately 2.7 million credit cards were issued through us in 2018, representing a year on year increase of 28.6%. In addition, our high-value-added technology services provided to regional commercial banks through our co-branding credit cards also increased significantly. Therefore, our credit card technology service fee increased by 82.1% in 2018 as compared with that of 2017.
The loan referral service fee also increased. Our loan referral service fee recorded a year on year increase of 7.3% mainly driven by the steady growth of customer demand, despite some of our cooperation partners also suffered from market volatilities in 2018 to certain extent.
Other revenue decreased mainly due to less interest income generated from a lower balance of loans funded by trusts.
4
Funding sources of our loan products
| For the | year ended 31 December | year ended 31 December | |||
|---|---|---|---|---|---|
| 2018 | 2017 | ||||
| RMB’million | % | RMB’million | % | ||
| (approximate) | (approximate) | ||||
| Investors of 51 Renpin | 21,620.1 | 86.4% | 26,096.5 | 77.0% | |
| Institutions | 3,394.0 | 13.6% | 7,794.1 | 23.0% | |
| Total (note) | 25,014.1 | 100.0% | 33,890.6 | 100.0% | |
| For the six months ended | For the six months | ended | |||
| 31 December 2018 | 30 June 2018 | ||||
| RMB’million | % | RMB’million | % | ||
| (approximate) | (approximate) | ||||
| Investors of 51 Renpin | 9,731.8 | 80.9% | 11,888.3 | 91.5% | |
| Institutions | 2,294.5 | 19.1% | 1,099.5 | 8.5% | |
| Total (note) | 12,026.3 | 100.0% | 12,987.8 | 100.0% |
Note: 51 Renpin refers to our online investment products. Institutions include a wholly-owned micro loan subsidiary of the Company.
After the issue of various regulatory policies at the end of 2017, we temporarily suspended cooperation with institutional funding partners and adjusted the related business model, so as to strictly comply with the regulatory requirements. We successfully obtained a financing guarantee licence in April 2018, and progressively resumed cooperation with various funding partners including banks, consumer finance companies and trusts, etc. since the second quarter of 2018. The proportion of funding sources from institutions increased to 19.1% in the second half of 2018 from 8.5% in the first half of 2018, and reached 26.3% in December 2018. At the end of 2018, we obtained a total funding commitment on loan balance of over RMB10 billion from various institutional funding partners. Thus, we expect that the proportion of loan facilitated from institutional funding partners will further increase, which will enable us to further realize the diversification of funding sources of our loan facilitation business. Despite the restrictions on the balance of loans facilitated through 51 Renpin platform imposed by related regulatory authorities since the second half of 2017, funding resources from institutional funding partners will support further development of our credit facilitation business.
5
Key metrics of our loan products
| Loan products targeting | Loan products targeting | Loan products targeting | Loan products targeting | ||
|---|---|---|---|---|---|
| credit card holders | non-credit | card holders | |||
| For the year ended 31 December | |||||
| 2018 | 2017 | 2018 | 2017 | ||
| (approximate) | (approximate) | (approximate) | (approximate) | ||
| Volume | of loan facilitated | RMB20,457.4 | RMB21,854.7 | RMB4,556.7 | RMB12,035.9 |
| million | million | million | million | ||
| Number | of borrowers | 0.8 million | 0.8 million | 0.7 million | 1.8 million |
| Number | of loans facilitated | 1.4 million | 1.3 million | 0.9 million | 4.6 million |
| Average | loan size | RMB14,900 | RMB16,700 | RMB5,000 | RMB4,000* |
| Average | term of loan | 13.6 months | 13.5 months | 10.2 months | 9.5 months* |
- Excluding the short-term and micro loan products we had offered from February 2017 to November 2017.
The volume of loans targeting credit card holders we facilitated in 2018 reached approximately RMB20,457.4 million, which remained generally stable compared to last year. Along with the enforcement of stricter regulations in the online consumer credit market and acceleration of industry consolidation, as one of the leading platforms, our market share may benefit. In addition, as at the end of 2018, users who have had credit transactions with us only accounted for a relatively small proportion of our credit card management users, and we expect our credit facilitation business to have a great development potential.
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The following chart shows the historical cumulative 90-day plus past due delinquency rates by vintage for loan products targeting credit card holders up to 31 December 2018:
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----- Start of picture text -----
2Q15
3Q15
4Q15
12.0%
1Q16
2Q16
9.0% 3Q16
4Q16
6.0% 1Q17
2Q17
3Q17
3.0%
4Q17
1Q18
0.0% 2Q18
2 3 4 5 6 7 8 9 10 11 12 13 14 15 3Q18
Quarters since origination
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The following chart shows the historical cumulative 90-day plus past due delinquency rates by vintage for loan products targeting non-credit card holders up to 31 December 2018:
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----- Start of picture text -----
1Q16
2Q16
12.0% 3Q16
4Q16
9.0% 1Q17
2Q17
6.0%
3Q17
4Q17
3.0%
1Q18
0.0% 2Q18
2 3 4 5 6 7 8 9 10 11 12 3Q18
Quarters since origination
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The 90-day plus past due delinquency rate of loan facilitated in 2018 generally showed a year on year decline compared to that of 2017.
As a council member of the National Internet Finance Association of China, our 51 Renpin platform took the lead in completing the data docking and reporting for P2P rectification project in September 2018, so as to meet the regulatory requirements and improve information disclosure transparency. Meanwhile, 51 Renpin platform successfully completed selfexamination in accordance with the regulatory requirements, and we have moved smoothly in the compliance filling progress. Additionally, we keep working closely with the regulatory authorities and are confident in meeting future industry compliance requirements.
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Pursuant to the Opinions on the Classification and Disposal of Online Lenders and Riskprevention Measures (《關於做好網貸機構分類處置和風險防範工作的意見》) (Circular 175) issued in December 2018, P2P platforms shall be properly classified. Specifically, except for a few large scale platforms which strictly complied with the existing regulations, other platforms will be forced to exit the market progressively. We are of the view that, the policies orienting supervision by classification, the exit or transformation of non-compliant or weak platforms and increase of elimination, the accelerating industry consolidation will increase our competitive advantage.
Big data technology innovation
In 2018, our technology research and development team independently developed and launched the full lifecycle marketing solution “Fermat” and the big data and artificial intelligence driven risk management solution “Light Cone”, which had yielded promising results in terms of reducing the cost of customer acquisition, optimizing the product experience and improving the risk-management level.
During the user acquisition process, Fermat quantifies the channel value and conducts precise real-time control using big data technology, and enables the conversion of users through steps such as channel tracking, intent identification and real-time calculation, following the users’ registration; then, by leveraging our exclusive deep-learning algorithms such as the industry-leading short text mining algorithm and the user behavior mining algorithm, it fully analyzes user characteristics and depicts user portrait to achieve intelligent touch and precise marketing, and completes the mining of users’ full lifecycle value. Fermat creates highfrequency services and products through capturing and stimulating users’ needs, extends service chains and coverage, and ultimately maximizes users’ value.
The Light Cone risk-management engine has the core capabilities of order-level snapshot time slicing, offline real-time data source unification, unified variable development engine, onestop model solution and real-time backtracking and simulation decision-making. Compared with the 3-to-6-month model iteration period of traditional financial institutions, the big data solution of the Light Cone can complete the whole process of the relatively complex risk-management model from the development of variables to the launching in 3 to 15 days. On this basis, the risk-management engine can extract the risk information efficiently and accurately by using cutting-edge technologies such as machine learning, non-supervision, knowledge graphs and relational networks, and fully perfect the risk samples with help from various creative application of technologies such as active learning plus semi-supervision learning with a view to reducing the negative impact of inaccurate samples of the traditional risk-control model, and at last package and calibrate through the traditional scorecard model. Thanks to such high-level risk identification capability, the interpretability and stability of the risk-management model are guaranteed and hence the global optimal performance is achieved.
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All these technology innovations will enable us to continuously enhance our efficiency in serving users, thus further realizing higher economic benefits.
OUTLOOK
According to the People’s Bank of China, the number of credit cards in use in the People’s Republic of China (the “ China ” or “ PRC ”) has reached approximately 686 million as of 31 December 2018, representing a 16.7% increase from approximately 588 million as of 31 December 2017. We believe the penetration of credit card service in China will continue in 2019 and will benefit our user base expansion and business growth.
We will put more emphasis on strengthening cooperation with financial institutions. On the one hand, we will further develop services and products in our ecosystem that enable us to deepen such cooperation, especially credit card technology services including co-branding credit cards. On the other hand, we will also explore business opportunities in partnering with financial institutions to provide credit facilitation service to our users. We will continue making efforts in development of more products and services, including loan products with diversified features that suit the needs of our users. We have been investing in research and development in technologies. We will further strengthen our technology capabilities by optimizing our proprietary big data analysis model in areas like precision marketing and credit assessment.
In 2018, with the increasingly stringent regulations, small-and-medium-sized platforms and non-compliant platforms exited the market gradually. As the online personal credit market consolidation accelerates, platforms with large scale and have strictly complied with the existing regulations will have a great chance to thrive. Capitalized on our high-value financially active users accumulated from 51 Credit Card Manager App since 2012, the unique business model from user acquisition through credit card management tools to subsequent capitalization on various financial services to meet the users’ needs, the unique credit card bills data, and the big data risk management system independently developed based on such data together with the progress achieved in the compliance filing, we believe that our competitive advantages will be further strengthened in the future.
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FINANCIAL INFORMATION
The board (the “ Board ”) of directors (the “ Directors ”) of the Company is pleased to announce the audited consolidated results of the Group for the year ended 31 December 2018, together with the comparative figures for the year ended 31 December 2017 as below.
CONSOLIDATED STATEMENT OF COMPREHENSIVE INCOME/(LOSS)
| Note Credit facilitation and service fee 2 Credit card technology service fee Loan referral service fee Other revenue 3 Total revenue Origination and servicing expenses 4 Sales and marketing expenses 4 General and administrative expenses 4 Research and development expenses 4 Other (losses)/gains, net 5 Total operating expenses Operating profit Share of net loss of associates accounted for using equity method Fair value gain/(loss) of preferred shares Extinguishment gain of preferred shares Fair value gain of financial liability at fair value through profit or loss Finance expenses, net Profit/(loss) before income tax Income tax credit/(expense) 6 Profit/(loss) for the year |
Year ended 31 December 2018 2017 RMB’000 RMB’000 2,055,531 1,627,324 255,676 140,382 203,061 189,327 297,726 311,547 2,811,994 2,268,580 (758,314) (516,904) (618,153) (614,406) (411,323) (182,144) (328,634) (261,378) (629,939) 11,931 (2,746,363) (1,562,901) 65,631 705,679 (1,302) (1,465) 1,942,221 (2,260,930) – 242,462 98,448 – (24,374) (47,778) 2,080,624 (1,362,032) 88,143 (16,439) 2,168,767 (1,378,471) |
|---|---|
10
| Profit/(loss) for the year attributable to: – Owners of the Company – Non-controlling interests Other comprehensive (loss)/income Items that may not be reclassified to profit or loss Currency translation differences Change in fair value attributable to change in the credit risk of preferred shares Change in fair value attributable to change in the credit risk of other financial liabilities at fair value through profit or loss Total comprehensive income/(loss) for the year, net of tax Total comprehensive income/(loss) attributable to: – Owners of the Company – Non-controlling interests Basic earnings/(loss) per share 7 Diluted earnings/(loss) per share 7 Note |
2,162,084 (1,371,270) 6,683 (7,201) 2,168,767 (1,378,471) (57,408) 98,004 (16,990) – (517) – 2,093,852 (1,280,467) 2,083,254 (1,274,250) 10,598 (6,217) 2,093,852 (1,280,467) 3.84 (7.90) 3.29 (7.90) Year ended 31 December 2018 2017 RMB’000 RMB’000 |
|---|---|
The above consolidated statement of comprehensive income/(loss) should be read in conjunction with the accompanying notes.
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CONSOLIDATED STATEMENT OF FINANCIAL POSITION
| Note ASSETS Non-current assets Property and equipment, net Intangible assets Investments accounted for using equity method Financial assets at fair value through profit or loss Deferred income tax assets Term deposits Prepayments and other receivables Total non-current assets Current assets Quality assurance fund receivable 8 Contract assets 9 Trade receivables 10 Prepayments and other receivables Loans to customers, net Financial assets at fair value through profit or loss Restricted cash Cash and cash equivalents Total current assets Total assets |
As at 31 December 2018 2017 RMB’000 RMB’000 236,340 222,066 1,029,342 1,026,771 144,430 145,732 425,026 425,093 222,300 104,556 6,000 5,000 7,531 – 2,070,969 1,929,218 812,078 1,407,981 1,155,184 22,692 149,567 59,957 322,923 355,799 185,296 948,987 573,221 334,471 1,056,788 1,407,491 1,206,172 1,258,446 5,461,229 5,795,824 7,532,198 7,725,042 |
As at 31 December 2018 2017 RMB’000 RMB’000 236,340 222,066 1,029,342 1,026,771 144,430 145,732 425,026 425,093 222,300 104,556 6,000 5,000 7,531 – 2,070,969 1,929,218 812,078 1,407,981 1,155,184 22,692 149,567 59,957 322,923 355,799 185,296 948,987 573,221 334,471 1,056,788 1,407,491 1,206,172 1,258,446 5,461,229 5,795,824 7,532,198 7,725,042 |
|---|---|---|
| 1,929,218 | ||
| 1,407,981 22,692 59,957 355,799 948,987 334,471 1,407,491 1,258,446 |
||
| 5,795,824 | ||
| 7,725,042 |
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| Note EQUITY/(DEFICIT) AND LIABILITIES Equity/(deficit) Share capital Share premium Share held for employee incentive schemes Reserves Accumulated losses Non-controlling interests Total equity/(deficit) Liabilities Non-current liabilities Long-term borrowings Deferred income tax liabilities Preferred shares 11 Payable to trust senior tranche holders Total non-current liabilities Current liabilities Quality assurance fund payable 8 Payable to platform customers Contract liabilities 9 Payable to preferred shareholders Short-term borrowings Trade and other payables 12 Income tax payable Financial liabilities at fair value through profit or loss Total current liabilities Total liabilities Total equity/(deficit) and liabilities |
As at 31 December 2018 2017 RMB’000 RMB’000 79 20 5,878,494 33,134 (14) (9) (57,450) (214,433) (2,291,794) (4,403,224) 16,941 2,956 3,546,256 (4,581,556) 413,102 436,196 150,252 176,886 – 6,815,260 209,500 950,000 772,854 8,378,342 1,524,621 1,767,210 744,783 656,422 47,514 49,714 – 30,000 189,900 257,057 624,608 963,351 11,133 36,042 70,529 168,460 3,213,088 3,928,256 3,985,942 12,306,598 7,532,198 7,725,042 |
|---|---|
The above consolidated statement of financial position should be read in conjunction with the accompanying notes.
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NOTES
1. BASIS OF PREPARATION AND ACCOUNTING POLICIES
1.1 Basis of preparation
The consolidated financial statements of the Group have been prepared in accordance with all applicable International Financial Reporting Standards (“IFRSs”). The consolidated financial statements of the Group have been prepared under the historical cost convention, as modified by the revaluation of financial instruments at fair value through profit or loss. The preparation of consolidated financial statements of the Group in conformity with IFRSs requires the use of certain critical accounting estimates. It also requires management to exercise its judgement in the process of applying the Group’s accounting policies.
1.2 Significant accounting policies
1.2.1 New standard early adopted by the Group
IFRS 15: Revenue from Contracts with Customers
IFRS 15, ‘Revenue from contracts with customers’ replaces the previous revenue standards IAS 18 ‘Revenue’ and IAS 11 ‘Construction Contracts’ and related interpretations. The standard is effective for annual years beginning on or after 1 January 2018 and earlier application is permitted. The Group has elected to early apply IFRS 15 and consistently applied for the years are presented.
IFRS 15 establishes a comprehensive framework for determining when to recognize revenue and how much revenue to recognize through a 5-step approach. The core principle is that a company should recognize revenue to depict the transfer of promised goods or services to the customer in an amount that reflects the consideration to which the company expects to be entitled in exchange for those goods or services. It moves away from a revenue recognition model based on an ‘earnings processes’ to an ‘asset-liability’ approach based on transfer of control. IFRS 15 provides specific guidance on capitalization of contract cost and license arrangements. It also includes a cohesive set of disclosure requirements about the nature, amount, timing and uncertainty of revenue and cash flows arising from the entity’s contracts with customers.
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1.2.2 New and amended standards adopted by the Group
A number of new standards and amendments to standards and interpretations that are relevant to the Group but not yet effective for the financial year beginning at 1 January 2018 and have not been early adopted by the Group.
| IFRS 2 | Classification and measurement of |
|---|---|
| share-based payment transactions | |
| IFRS 9 | Financial Instruments |
| Amendment to IAS 28 | Investments in associates and joint ventures |
| Amendments to IAS 40 | Transfers of investment property |
| IFRIC 22 | Foreign Currency Transactions and |
| Advance Consideration |
Except for IFRS 9, impact of which is disclosed below, the above new accounting standards and amendments to IFRSs which are effective and adopted by the Group from 1 January 2018 have no significant impact on the Group’s consolidated financial statements.
The Group has adopted IFRS 9 as issued by the IASB in July 2014 with a date of transition of 1 January 2018, which resulted in changes in accounting policies and adjustments to the amounts previously recognized in the consolidated financial statements.
As permitted by the transitional provisions of IFRS 9, the Group elected not to restate comparative figures. Any adjustments to the carrying amounts of financial assets and liabilities at the date of transition were recognized in the opening accumulated losses of the year ended 31 December 2018.
Consequently, for notes disclosures, the consequential amendments to IFRS 7 disclosures have also only been applied to the year ended 31 December 2018.
The adoption of IFRS 9 has resulted in changes in our accounting policies for recognition, classification and measurement of financial assets and financial liabilities and impairment of financial assets. IFRS 9 also significantly amends other standards dealing with financial instruments such as IFRS 7 ‘Financial Instruments: Disclosures’.
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- (a) IFRS 9 “Financial Instruments” – Impact of adoption
Set out below are disclosures relating to the impact of the adoption of IFRS 9 on the Group.
The total impact of the adoption of IFRS 9 on the Group’s accumulated losses as at 1 January 2018 is as follows:
| Closing accumulated losses as at 31 December 2017– IAS 39 Impact of adoption of IFRS 9 – Increase in impairment provision for contract assets (Note iii) – Increase in impairment provision for financial assets at amortized cost (Note iii) – Decrease in quality assurance fund payable with adoption of IFRS 9 (Note iii) – Adjustment from adoption of IFRS 9 on 1 January 2018, before income tax – Income tax effect Adjustment to accumulated losses from adoption of IFRS 9 on 1 January 2018, net of tax Opening accumulated losses of 1 January 2018 – IFRS 9 |
Accumulated losses RMB’000 4,403,224 776 95,793 (10,828) 85,741 (35,087) 50,654 4,453,878 |
|---|---|
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(i) Classification and measurement of financial instruments
The measurement category and the carrying amount of assets and liabilities in accordance with IAS 39 and IFRS 9 as at 1 January 2018 are compared as follows:
Financial assets
| IAS 39 | IFRS 9 | |||
|---|---|---|---|---|
| Measurement | Carrying | Measurement | Carrying | |
| category | amount | category | amount | |
| RMB’000 | RMB’000 | |||
| Financial assets at fair value through | FVPL | 759,564 | FVPL | 759,564 |
| profit or loss (“FVPL”) | ||||
| Quality assurance fund receivable | Amortized cost | 1,407,981 | Amortized cost | 1,361,021 |
| (Loans and | ||||
| receivables) | ||||
| Trade receivables | Amortized cost | 59,957 | Amortized cost | 59,881 |
| (Loans and | ||||
| receivables) | ||||
| Prepayments and other receivables | Amortized cost | 355,799 | Amortized cost | 355,577 |
| (Loans and | ||||
| receivables) | ||||
| Loans to customers, net | Amortized cost | 948,987 | Amortized cost | 900,452 |
| (Loans and | ||||
| receivables) | ||||
| Restricted cash | Amortized cost | 1,407,491 | Amortized cost | 1,407,491 |
| Cash and cash equivalents | Amortized cost | 1,258,446 | Amortized cost | 1,258,446 |
Financial liabilities
There was no change to the classification and measurement of financial liabilities, other than to changes in the fair value of financial liabilities designated at fair value through profit or loss that are attributable to changes in the instrument’s credit risk, which are now presented in other comprehensive income.
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- (ii) Reconciliation of financial assets and liabilities balances from IAS 39 to IFRS 9
The Group revised its impairment methodology using expected credit loss (“ ECL ”) model under IFRS 9 for each class of financial assets and financial guarantee contracts (i.e. quality assurance fund payable). The Group performed a detailed analysis of its business models for managing assets and analysis of their cash flow characteristics.
The following table reconciles the carrying amounts of assets, from their previous measurement category in accordance with IAS 39 to their new measurement categories upon transition to IFRS 9 on 1 January 2018:
| Financial assets measured at amortized cost – Restricted cash – Cash and cash equivalents – Trade receivables – Prepayments and other receivables – Loans to customers, net – Quality assurance fund receivable Total financial assets measured at amortized cost Fair value through profit or loss – Financial assets at fair value through profit or loss Total financial assets measured at FVPL Financial guarantee contracts Quality assurance fund payable |
IAS 39 carrying amount 31 December 2017 RMB’000 1,407,491 1,258,446 59,957 355,799 948,987 1,407,981 5,438,661 IAS 39 carrying amount 31 December 2017 RMB’000 759,564 759,564 1,767,210 |
Reclassification difference RMB’000 – – – – – – – Reclassification difference RMB’000 – – – |
Remeasurement difference – impairment allowance RMB’000 – – (76) (222) (48,535) (46,960) (95,793) Remeasurement difference RMB’000 – – (10,828) |
IFRS 9 carrying amount 1 January 2018 RMB’000 1,407,491 1,258,446 59,881 355,577 900,452 1,361,021 |
|---|---|---|---|---|
| 5,342,868 | ||||
| IFRS 9 carrying amount 1 January 2018 RMB’000 759,564 |
||||
| 759,564 | ||||
| 1,756,382 |
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(iii) Reconciliation of impairment allowance balance from IAS 39 to IFRS 9
The following table reconciles the prior year’s closing impairment allowance measured in accordance with the IAS 39 incurred loss model to the new ECL allowance measured in accordance with IFRS 9 ECL model as at 1 January 2018:
| Measurement category Impairment loss allowance under IAS 39 RMB’000 Non-financial asset Contract assets 1,933 Loans and receivables (IAS 39)/financial assets at amortized – Trade receivables – – Prepayments and other receivables – – Loans to customers, net 101,772 – Quality assurance fund receivable 331,264 433,036 Financial guarantee contracts Quality assurance fund payable 1,767,210 |
Reclassification difference RMB’000 – cost (IFRS 9) – – – – – – |
Remeasurement difference RMB’000 776 76 222 48,535 46,960 95,793 (10,828) |
Expected credit loss allowance under IFRS 9 RMB’000 2,709 |
|---|---|---|---|
| 76 222 150,307 378,224 |
|||
| 528,829 | |||
| 1,756,382 |
2. Credit facilitation and service fee
| Upfront credit facilitation service fee Post credit facilitation service fee |
Year ended 31 December 2018 2017 RMB’000 RMB’000 1,414,185 944,058 641,346 683,266 2,055,531 1,627,324 |
Year ended 31 December 2018 2017 RMB’000 RMB’000 1,414,185 944,058 641,346 683,266 2,055,531 1,627,324 |
|---|---|---|
| 1,627,324 |
Note: The unsatisfied performance obligation as at 31 December 2018 is approximately RMB442,622,000. Management expects that 89% of the transaction price allocated to the unsatisfied contracts as at 31 December 2018 will be recognized as revenue within the next twelve months.
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3. Other revenue
| Interest income of loans to customers Payment service fee Overdue charges Insurance commission income Others |
Year ended 31 December 2018 2017 RMB’000 RMB’000 91,107 227,440 75,438 – 45,098 75,231 30,656 – 55,427 8,876 297,726 311,547 |
Year ended 31 December 2018 2017 RMB’000 RMB’000 91,107 227,440 75,438 – 45,098 75,231 30,656 – 55,427 8,876 297,726 311,547 |
|---|---|---|
| 311,547 |
4. Expenses by nature
| Employee benefit expenses Marketing and advertising fees External technical service fee Fund transfer charges Depreciation and amortization Loan referral service fee Listing expenses Insurance commissions Office expenses Professional service fee Office rental Auditor’s remuneration – Audit services – Non-audit services Others Total of origination and servicing expenses, sales and marketing expenses, general and administrative expenses and research and development expenses |
As at 31 December 2018 2017 RMB’000 RMB’000 766,083 471,036 592,382 598,211 238,059 103,487 194,040 169,247 66,433 29,654 48,126 89,412 37,275 14,905 27,339 1,037 26,752 22,253 21,737 16,847 19,189 16,445 4,100 – 845 722 74,064 41,576 2,116,424 1,574,832 |
As at 31 December 2018 2017 RMB’000 RMB’000 766,083 471,036 592,382 598,211 238,059 103,487 194,040 169,247 66,433 29,654 48,126 89,412 37,275 14,905 27,339 1,037 26,752 22,253 21,737 16,847 19,189 16,445 4,100 – 845 722 74,064 41,576 2,116,424 1,574,832 |
|---|---|---|
| 1,574,832 |
Note: Incremental costs to obtain arrangements where the Group is not the loan originator are generally expensed off when incurred, because the amortization periods of these incremental costs are one year or less. These costs are recorded as sales and marketing expenses.
20
5. Other (losses)/gains, net
| Fair value (loss)/gain on financial assets at fair value through profit or loss Dividend income from an investee Fair value gain/(loss) on foreign exchange contracts Quality assurance fund loss, net Government grants Interest expenses to trust senior tranche holders ECL/Impairment loss Others |
Year ended 31 December 2018 2017 RMB’000 RMB’000 (3,911) 191,706 11,083 – 4,262 (13,083) (345,854) (36,585) 6,705 15,253 (44,640) (43,993) (258,375) (97,442) 791 (3,925) (629,939) 11,931 |
Year ended 31 December 2018 2017 RMB’000 RMB’000 (3,911) 191,706 11,083 – 4,262 (13,083) (345,854) (36,585) 6,705 15,253 (44,640) (43,993) (258,375) (97,442) 791 (3,925) (629,939) 11,931 |
|---|---|---|
| 11,931 |
6. Income tax (credit)/expense
| Current income tax Deferred income tax |
Year ended 31 December 2018 2017 RMB’000 RMB’000 21,185 996 (109,328) 15,443 (88,143) 16,439 |
Year ended 31 December 2018 2017 RMB’000 RMB’000 21,185 996 (109,328) 15,443 (88,143) 16,439 |
|---|---|---|
| 16,439 |
21
7. Earnings/(loss) per share
- (a) Basic earnings/(loss) per share is calculated by dividing the income/(loss) of the Group attributable to owners of the Group by the weighted average number of ordinary shares in issue during the year. In March 2018, the Company effected a share split. Each of ordinary share and preferred share of the Company was subdivided into 10 shares at par value of US$0.00001. The weighted average number of ordinary shares has reflected the effect of share split.
| Earnings/(loss) attributable to owners of the Group Weighted average number of ordinary shares in issue (’000) Basic earnings/(loss) per share (expressed in RMB) |
Year ended 31 December 2018 2017 RMB’000 RMB’000 2,162,084 (1,371,270) 563,603 173,613 3.84 (7.90) |
|---|---|
- (b) Diluted earnings/(loss) per share is calculated by adjusting the weighted average number of ordinary shares outstanding to assume conversion of all dilutive potential ordinary shares. As the Group incurred losses for the year ended 31 December 2017, the potential ordinary shares were not included in the calculation of dilutive loss per share, as their inclusion would be anti-dilutive. Accordingly, diluted loss per share for the year ended 31 December 2017 is the same as basic loss per share.
For the year ended 31 December 2018, diluted earnings per share is calculated by adjusting the weighted average number of ordinary shares outstanding by the assumption of the conversion of all potential dilutive ordinary shares arising from share options and restricted share units (“RSUs”) granted by the Company (collectively forming the denominator for computing diluted earnings per share). No adjustment is made to earnings (numerator).
22
| Profit/(loss) attributable to owners of the Group (RMB’000) Weighted average number of ordinary shares in issue (’000) Adjustments for share options and RSUs granted to employees (’000) Weighted average number of ordinary shares for calculation of diluted earnings/(loss) per share Diluted earnings/(loss) per share (expressed in RMB) |
Year ended 31 December 2018 2017 2,162,084 (1,371,270) 563,603 173,613 92,713 – 656,316 173,613 3.29 (7.90) |
|---|---|
8. Quality assurance fund payable and receivable
The following table sets forth the Group’s quality assurance fund payable movements for the years ended 31 December 2018 and 2017:
| Opening balance Changes on initial application of IFRS 9 Fair value of newly written quality assurance obligation ECL/impairment loss Release of the margin Payouts during the year, net Ending balance |
Year ended 31 December 2018 2017 RMB’000 RMB’000 1,767,210 706,612 (10,828) – 2,393,887 2,681,917 423,489 – (178,537) (210,898) (2,870,600) (1,410,421) 1,524,621 1,767,210 |
|---|---|
23
The following table sets forth the Group’s quality assurance fund receivable movements for the years ended 31 December 2018 and 2017:
| Opening balance Changes on initial application of IFRS 9 Fair value of newly written quality assurance obligation ECL/impairment loss Contribution received from borrowers Ending balance |
Year ended 31 December 2018 2017 RMB’000 RMB’000 1,407,981 576,921 (46,960) – 2,393,887 2,681,917 (100,902) (247,483) (2,841,928) (1,603,374) 812,078 1,407,981 |
Year ended 31 December 2018 2017 RMB’000 RMB’000 1,407,981 576,921 (46,960) – 2,393,887 2,681,917 (100,902) (247,483) (2,841,928) (1,603,374) 812,078 1,407,981 |
|---|---|---|
| 1,407,981 |
(a) The following table explains the changes in the loss allowance of quality assurance fund receivable by stage for the year ended 31 December 2018:
| Opening balance Provisions Reversal Transfer Transfer from Stage 1 to Stage 2 Transfer from Stage 1 to Stage 3 Transfer from Stage 2 to Stage 1 Transfer from Stage 2 to Stage 3 Transfer from Stage 3 to Stage 2 Ending balance |
Stage 1 12-month ECL RMB’000 139,948 34,375 (107,038) (5,158) (22,333) 493 – – 40,287 |
Stage 2 Lifetime ECL RMB’000 47,810 6,451 (7,136) 5,158 – (493) (14,898) 35 36,927 |
Stage 3 Lifetime ECL RMB’000 190,465 250,622 (76,372) – 22,333 – 14,898 (35) 401,911 |
Total RMB’000 378,223 291,448 (190,546) – – – – – |
|---|---|---|---|---|
| 479,125 |
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9. Contract assets/(liabilities)
| Contract assets Less: ECL allowance/impairment allowance Contract assets, net Contract liabilities |
As at 31 December 2018 2017 RMB’000 RMB’000 1,370,529 24,625 (215,345) (1,933) 1,155,184 22,692 (47,514) (49,714) |
|---|---|
The activity in the total impairment allowance for the years ended 31 December 2018 and 2017 consisted of the following:
| Beginning balance Changes on initial application of IFRS 9 Provisions for the year Ending balance |
Year ended 31 December 2018 2017 RMB’000 RMB’000 (1,933) (103) (776) – (212,636) (1,830) (215,345) (1,933) |
|---|---|
Note: The Group receives payments from borrowers over the term of the loan. Contract asset represents the Group’s right to consideration in exchange for services that the Group has provided. A substantial majority of the Group’s contract assets as at 31 December 2018 would be realized within the next twelve months as the weighted average term of the arrangements where the Group is not the loan originator were less than twelve months. The Group determined there is no significant financing component for its arrangements where the Group is not the loan originator.
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10. Trade receivables
| Loan referral and credit card technology service receivables Others Expected credit impairment allowance |
As at 31 December 2018 2017 RMB’000 RMB’000 142,053 56,599 7,860 3,358 149,913 59,957 (346) – 149,567 59,957 |
As at 31 December 2018 2017 RMB’000 RMB’000 142,053 56,599 7,860 3,358 149,913 59,957 (346) – 149,567 59,957 |
|---|---|---|
| 59,957 – |
||
| 59,957 |
The activity in the total ECL allowance for trade receivable as at 31 December 2018 and 2017 consisted of the following:
| Beginning balance Changes on initial application of IFRS 9 Provisions for the year Ending balance |
As at 31 December 2018 2017 RMB’000 RMB’000 – – (76) – (270) – (346) – |
As at 31 December 2018 2017 RMB’000 RMB’000 – – (76) – (270) – (346) – |
|---|---|---|
| – |
Aging analysis of trade receivables based on invoice date is as follows:
| Within 30 days More than 30 days |
As at 31 December 2018 2017 RMB’000 RMB’000 110,784 55,817 38,783 4,140 149,567 59,957 |
As at 31 December 2018 2017 RMB’000 RMB’000 110,784 55,817 38,783 4,140 149,567 59,957 |
|---|---|---|
| 59,957 |
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11. Preferred shares
The preferred shares has converted to ordinary shares when the Company completed the IPO on 13 July 2018.
The movement of the preferred shares is set out as below:
| At 1 January 2017 Execution of warrants by Series C preferred shareholders Redemption of preferred shares Extinguishment of Series A1, Series A2, Series B, Series B1 and Series C preferred shares Issuance of Class B ordinary shares, Series A1, Series A2, Series B, Series B1 and Series C preferred shares Ordinary shares transferred to Class B ordinary shares of reorganization Changes in fair value of preferred shares Currency translation differences At 31 December 2017 At 1 January 2018 Changes in fair value of preferred shares Change in fair value attributable to change in the credit risk of preferred shares Currency translation differences Conversion to ordinary shares At 31 December 2018 |
RMB’000 4,105,301 801,139 (32,396) (6,607,410) 6,367,343 19,135 2,260,930 (98,782) 6,815,260 6,815,260 (1,942,221) 16,990 61,391 (4,951,420) – |
|---|---|
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12. Trade and other payables
| Payables for equity investments (a) Payroll and welfare payable Online promotion marketing expenses payable Payable to settlement banks Trade payables (b) Other tax payable Payable on behalf of credit card users Payable to related parties Listing fee payables Payable on behalf of users of payment company Others |
As at 31 December 2018 2017 RMB’000 RMB’000 218,329 507,168 115,519 145,453 80,863 31,648 74,847 – 30,197 33,778 19,460 62,299 8,670 22,029 3,951 73,854 3,431 9,472 – 8,131 69,341 69,519 624,608 963,351 |
As at 31 December 2018 2017 RMB’000 RMB’000 218,329 507,168 115,519 145,453 80,863 31,648 74,847 – 30,197 33,778 19,460 62,299 8,670 22,029 3,951 73,854 3,431 9,472 – 8,131 69,341 69,519 624,608 963,351 |
|---|---|---|
| 963,351 |
-
(a) Payables for equity investments primarily represent the cash consideration due to the counterparties of equity transactions in connection with the acquisition of Beijing Shouhui Kaizhuo Technology Co., Ltd. and Shenzhen Zhong Rong Insurance Brokers Co., Ltd..
-
(b) Trade payables represent payables of fund transfer charges and collection service charges.
The aging analysis of trade payables based on invoice date is as below:
| within 30 days 30 to 90 days 90 to 180 days 180 to 360 days |
As at 31 December 2018 2017 RMB’000 RMB’000 22,831 22,613 7,298 11,165 43 – 25 – 30,197 33,778 |
As at 31 December 2018 2017 RMB’000 RMB’000 22,831 22,613 7,298 11,165 43 – 25 – 30,197 33,778 |
|---|---|---|
| 33,778 |
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13. Dividends
No dividend has been paid or declared by the Company for the year ended 31 December 2018 (2017: Nil).
14. Commitments
The Group leases offices under non-cancellable operating leases agreements, and the majority of lease agreements are renewable at the end of the lease at market rate.
The Group’s future aggregate minimum lease payments under non-cancellable operating leases are as follows:
| Not later than 1 year Later than 1 year and not later than 5 years Over five years |
As at 31 December 2018 2017 RMB’000 RMB’000 34,074 22,104 58,826 40,524 1,064 – 93,964 62,628 |
As at 31 December 2018 2017 RMB’000 RMB’000 34,074 22,104 58,826 40,524 1,064 – 93,964 62,628 |
|---|---|---|
| 62,628 |
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FINANCIAL REVIEW
Revenue
Our total revenue increased by 24.0% from approximately RMB2,268.6 million for the year ended 31 December 2017 to approximately RMB2,812.0 million for the year ended 31 December 2018.
Credit facilitation and service fee increased by 26.3% from approximately RMB1,627.3 million for the year ended 31 December 2017 to approximately RMB2,055.5 million for the year ended 31 December 2018. We recognize in our financial statements the upfront credit facilitation service fee at the inception of the loan and post credit facilitation service fee over the loan period. The credit facilitation service fee growth is mainly because we adopted a more prudent strategy and focused more on serving credit card customers while maintaining the borrowers’ overall borrowing cost at a stable level. Thus, we achieved better credit performance in 2018, allowing us to generate higher revenue from credit facilitation service.
Credit card technology service fee increased by 82.1% from approximately RMB140.4 million for the year ended 31 December 2017 to approximately RMB255.7 million for the year ended 31 December 2018, mainly because of the increase in the number of credit cards issued to our users through us and the increase in high-value-added technology services rendered to cooperating banks through our co-branding credit cards.
Our loan referral service fee increased by 7.3% from approximately RMB189.3 million for the year ended 31 December 2017 to approximately RMB203.1 million for the year ended 31 December 2018, primarily driven by the increase in the total volume of loans we referred to third-party business partners.
Other revenue decreased by 4.4% from approximately RMB311.5 million for the year ended 31 December 2017 to approximately RMB297.7 million for the year ended 31 December 2018, mainly resulted from decrease of interest income of loans to customers due to decrease in loan balance from the trusts we established.
30
Operating expenses
Our operating expenses increased by 75.7% from approximately RMB1,562.9 million for the year ended 31 December 2017 to approximately RMB2,746.4 million for the year ended 31 December 2018.
Origination and servicing expenses increased by 46.7% from approximately RMB516.9 million for the year ended 31 December 2017 to approximately RMB758.3 million for the year ended 31 December 2018, primarily because (i) external technical service fee increased by 135.5% to approximately RMB223.3 million for the year ended 31 December 2018 from approximately RMB94.8 million for the year ended 31 December 2017 due to increased demand for third party services such as loan collection services and credit risk assessment services, (ii) employee benefit expenses increased by 56.4% to approximately RMB183.8 million for the year ended 31 December 2018 from approximately RMB117.5 million for the year ended 31 December 2017 due to the increased human resources expense to further enhance our risk management capability of credit facilitation business.
General and administrative expenses increased by 125.9% from approximately RMB182.1 million for the year ended 31 December 2017 to approximately RMB411.3 million for the year ended 31 December 2018, mainly because (i) employee benefit expenses for the year ended 31 December 2018 increased by 177.1% to approximately RMB284.0 million from approximately RMB102.5 million for the year ended 31 December 2017, including the increase of approximately RMB150.1 million of share-based compensation expenses, and (ii) listing expenses increased by 150.3% to approximately RMB37.3 million for the year ended 31 December 2018 from approximately RMB14.9 million for the year ended 31 December 2017.
Research and development expenses increased by 25.7% from approximately RMB261.4 million for the year ended 31 December 2017 to approximately RMB328.6 million for the year ended 31 December 2018, primarily due to the headcount increase for our research and development team to strengthen our technology capabilities.
31
Other (losses)/gains, net changed from a gain of approximately RMB11.9 million for the year ended 31 December 2017 to a loss of approximately RMB629.9 million for the year ended 31 December 2018. Our quality assurance fund (“ QAF ”) loss increase to approximately RMB345.9 million from approximately RMB36.6 million for the corresponding period in 2017. Our impairment loss increased to approximately RMB258.4 million from approximately RMB97.4 million for the corresponding period in 2017. The increase in QAF loss and impairment loss is mainly because of the adoption of IFRS 9 in 2018. IFRS 9 introduced a new methodology of recognizing the impairment of financial assets and financial guarantee contracts (i.e. QAF payable) using ECL model, replacing the incurred credit loss model under IAS 39 in previous years. As a result of adopting IFRS 9, the Company measured 12-month ECL for non-impaired financial instruments which have not experienced significant increase in credit risk (“ SICR ”), and lifetime ECL for non-impaired financial instruments which have experienced SICR and for impaired financial instruments. The major difference between IFRS 9 and IAS 39 is the measurement of impairment for non-impaired financial instruments. Under IAS 39, the allowances are only provided for credit losses incurred but not yet identified. In general, the adoption of IFRS 9 results in early recognition of impairment for non-impaired financial instruments. And our fair value gain on financial assets at fair value through profit or loss changed from approximately RMB191.7 million to fair value loss on financial assets at fair value through profit or loss of approximately RMB3.9 million, mainly because that the fair value of our investments kept relatively stable as at 31 December 2018 compared to 31 December 2017.
Share of net loss of associates accounted for using equity method
Share of net loss of associates accounted for using equity method decreased by 13.3% from approximately RMB1.5 million for the year ended 31 December 2017 to approximately RMB1.3 million for the year ended 31 December 2018.
Fair value gain/(loss) of preferred shares
Fair value gain/(loss) of preferred shares changed from a loss of approximately RMB2,260.9 million for the year ended 31 December 2017 to a gain of approximately RMB1,942.2 million for the year ended 31 December 2018.
32
Fair value gain of financial liability at fair value through profit or loss
We recorded approximately RMB98.4 million of fair value gain of financial liability at fair value through profit or loss for the year ended 31 December 2018, as compared to nil for the year ended 31 December 2017.
Finance expenses, net
Finance expenses, net decreased by 49.0% from approximately RMB47.8 million for the year ended 31 December 2017 to approximately RMB24.4 million for the year ended 31 December 2018. The decrease mainly reflected the decrease in financing expense of preferred shares.
Income tax credit/(expense)
Income tax credit/(expense) changed from an income tax expense of approximately RMB16.4 million for the year ended 31 December 2017 to an income tax credit of approximately RMB88.1 million for the year ended 31 December 2018, mainly as a result of recognition of deferred income tax assets related to deductible expenses approved by tax authority in 2018.
Profit/(loss) for the year
As a result of the foregoing, our profit/(loss) for the year changed from a net loss of approximately RMB1,378.5 million for the year ended 31 December 2017 to a net profit of approximately RMB2,168.8 million for the year ended 31 December 2018.
Non-IFRS measures
We compensate for the limitations of the non-IFRS measures by reconciling the nonIFRS financial measures to the nearest IFRS performance measure, all of which should be considered when evaluating our performance.
33
The following table reconciles our non-IFRS net profit/(loss) in the years presented to the most directly comparable financial measure calculated and presented in accordance with IFRS, which is profit/(loss) for the year:
| Non-IFRS net profit Net profit/(loss) Adjusted for: Share-based compensation expenses Fair value (gain)/loss of preferred shares Extinguishment gain of preferred shares Fair value gain of financial liability at fair value through profit or loss Finance expenses related to preferred shares Fair value loss/(gain) of financial assets at fair value through profit or loss(1) Listing expenses Non-IFRS net profit(2) |
Year ended 31 December 2018 2017 RMB’000 RMB’000 2,168,767 (1,378,471) 204,920 56,594 (1,942,221) 2,260,930 – (242,462) (98,448) – – 32,351 3,911 (191,706) 37,275 14,905 374,204 552,141 |
|---|---|
Notes:
-
(1) Based on the changes of external market, the Company reduced its investment in non-strategic investment business and the fair value loss/(gain) of which generally does not have cash outflow/inflow impact. Thus, we adjusted the effect of net profit by such business.
-
(2) The decrease in non-IFRS net profit was mainly due to the increase of QAF loss and impairment loss as a result of the adoption of IFRS 9 in 2018 while in the corresponding period of 2017 IAS 39 was applied.
34
Liquidity, Financial Resources and Gearing
The Group maintained a net cash position throughout the years under review. Our net cash positions as at 31 December 2018 and 31 December 2017 are as follows:
| Cash and cash equivalents Liquid investments Borrowings Net cash |
As at 31 December 2018 RMB’ million 1,206 569 (603) 1,172 |
As at 31 December 2017 RMB’ million 1,258 245 (693) 810 |
|---|---|---|
Cash and cash equivalents include cash at banks and other short-term deposits with original maturities of three months or less. Liquid investments are primarily wealth management products issued by banks and held with the primary objective to generate income at a yield higher than current deposit bank interest rates. Our cash and cash equivalents and liquid investments are denominated in the United States (“ US ”) dollars, RMB and Hong Kong dollars.
For the year ended 31 December 2018, the Group recorded net cash outflow of approximately RMB52.3 million, primarily as a result of net cash flow generated from operating activities of approximately RMB89.2 million, net cash flow generated from financing activities of approximately RMB51.5 million, offset by net cash used in investing activities of approximately RMB207.0 million.
The Group manages liquidity risk by maintaining adequate cash reserves, banking facilities and reserve borrowing facilities, by continuously monitoring forecast and actual cash flows, and by matching the maturity profiles of financial assets and liabilities.
The gearing ratio, calculated as total borrowings divided by total assets, was 8.0% as at 31 December 2018. (31 December 2017: 9.0%).
35
The following table sets forth the maturity profile of our borrowings within the years indicated.
| Within 1 year 1 to 2 years 2 to 5 years Over 5 years Total borrowings |
As at 31 December 2018 RMB’000 189,900 34,056 365,850 13,196 603,002 |
As at 31 December 2017 RMB’000 257,057 9,767 403,720 22,709 |
|---|---|---|
| 693,253 |
The bank and other borrowings as at 31 December 2018 were all denominated in RMB (31 December 2017: RMB and Hong Kong dollars).
Capital Structure
On 13 July 2018 (the “ Listing Date ”), being the date of which the shares of the Company (the “ Shares ”) were initially listed on the Main Board of The Stock Exchange of Hong Kong Limited (the “ Stock Exchange ”), the total number of issued Shares was 1,187,026,522 and was further increased to 1,194,425,522 after the partial exercise of over-allotment option on 3 August 2018. For details, please refer to the prospectus of the Company dated 29 June 2018 (“ Prospectus ”) and the announcement dated 5 August 2018, respectively.
Exposure to Fluctuations in Exchange Rates
The Group’s subsidiaries primarily operate in the PRC and are exposed to foreign exchange risk arising from various currency exposures, primarily with respect to US dollars and Hong Kong dollars.
36
For the Group’s PRC subsidiaries whose functional currency is RMB, if US dollars had strengthened/weakened by 5% against RMB with all other variables held constant, the profit before income tax for the year ended 31 December 2018 would have been approximately RMB584,000 higher/lower, and the loss before income tax for the year ended 31 December 2017 would have been approximately RMB3,357,000 lower/higher, as a result of net foreign exchange gains/(losses) on translation of net monetary assets denominated in US dollars.
For the Group’s PRC subsidiaries whose functional currency is RMB, if Hong Kong dollars had strengthened/weakened by 5% against RMB with all other variables held constant, the profit before income tax for the year ended 31 December 2018 would have been approximately RMB5,708,000 higher/lower, and the loss before income tax for the year ended 31 December 2017 would have been approximately RMB7,523,000 lower/higher, as a result of net foreign exchange gains/(losses) on translation of net monetary assets denominated in Hong Kong dollars.
The Group has entered into foreign exchange forward contracts to cover specific foreign currency payments and receipts within the exposure generated from time to time.
Charge on Assets
During the year ended 31 December 2018, the Group had pledged its shares held in 北京決 策信誠科技有限公司 (transliterated as Beijing Juece Xincheng Technology Co., Ltd.) in favour of Wenchuang Branch of Bank of Hangzhou Co., Ltd. (“ Hangzhou Bank ”) as security for obtaining a loan of a total sum of RMB30 million. The Group had charged its properties located in Building B3, Wenyi West Road, No. 588 Hangzhou, PRC in favour of Wenchuang Branch of Hangzhou Bank for obtaining a mortgage loan of a total sum of RMB53 million.
Significant Investments
For the year ended 31 December 2018, the Group did not have any significant investments.
Material Acquisition and Disposal
For the year ended 31 December 2018, the Group did not have any material acquisition or disposal.
37
Contingent Liabilities
As at 31 December 2018, the Group had no material contingent liability (31 December 2017: nil).
Employees and Remuneration Policy
As at 31 December 2018, the Group had 1,145 staff (31 December 2017: 1,441). For the year ended 31 December 2018, the total employee benefit expenses incurred by the Group was approximately RMB766.1 million (year ended 31 December 2017: approximately RMB471.0 million).
The Company has established an effective compensation management system and talent incentive mechanism by following the principle of “competitive compensation to attract high-quality talent”. The Company’s compensation system is linked to the performance appraisal system and the Group’s operating results to create a more fair and humane working environment for each employee to fully exert his/her own value, so as to provide human resources guarantee for the Company’s sustainable and stable development. In addition, the Company focuses on employee training system construction, including new employee induction training and on-the-job training, covering professional training to improve vocational skills, management training to enhance leadership quality and generalpurpose training to develop comprehensive quality. Meanwhile, the Company implements a training score management system to create a good learning atmosphere for achieving the simultaneous development of employees and the enterprise.
The Company has also adopted 51 Stock Scheme and 51 Award Scheme to reward the employees. For details, please refer to the section headed “Appendix IV - Statutory and General Information - D. RSU Schemes” of the Prospectus.
USE OF PROCEEDS FROM THE INITIAL PUBLIC OFFERING (“IPO”)
The Shares were listed and commenced trading on the Main Board of the Stock Exchange on 13 July 2018. The gross proceeds and net proceeds raised by the Company from the IPO amounted to approximately HK$1,009.0 million and approximately HK$988.3 million, respectively and an additional gross proceeds and net proceeds of approximately HK$62.9 million and approximately HK$61.3 million, respectively were raised from the allotment and issue of the Shares as a result of the partial exercise of the over-allotment option.
38
As at 31 December 2018, the proceeds were utilized consistent with that disclosed in the Prospectus in the manner set out below:
| User acquisition Enhancement of technology and risk management capabilities Investment Working capital and other general corporate purposes Total |
% 40% 30% 20% 10% 100% |
Use of net proceeds from the IPO HK’ million RMB’ million 419.8 359.7 314.9 269.8 209.9 179.8 105.0 89.9 1,049.6 899.2 |
Amount utilized in 2018 HK’ million RMB’ million 118.8 99.3 89.1 74.5 – – 29.7 24.8 237.6 198.6 |
Amount not yet utilized HK’ million RMB’ million 301.0 260.4 225.8 195.3 209.9 179.8 75.3 65.1 812.0 700.6 |
Amount not yet utilized HK’ million RMB’ million 301.0 260.4 225.8 195.3 209.9 179.8 75.3 65.1 812.0 700.6 |
|---|---|---|---|---|---|
| 700.6 |
FINAL DIVIDEND
The Board does not recommend the declaration of the final dividend for the year ended 31 December 2018.
CLOSURE OF REGISTER OF MEMBERS
For the purpose of determining Shareholders who are qualified for attending and voting at the meeting, the register of members of the Company will be closed from Monday, 27 May 2019 to Friday, 31 May 2019 both days inclusive, during which no transfer of shares will be registered. In order to be eligible to attend and vote at the meeting, all share transfers accompanied by the relevant share certificates must be lodged with the Company’s branch share registrar and transfer office in Hong Kong, Tricor Tengis Limited of Level 22, Hopewell Centre, 183 Queen’s Road East, Hong Kong not later than 4:30 p.m. on Friday, 24 May 2019.
PURCHASE, SALE OR REDEMPTION OF LISTED SECURITIES OF THE COMPANY
The Shares were initially listed on the Main Board of the Stock Exchange on the Listing Date.
Neither the Company nor any of its subsidiaries purchased, sold or redeemed any of the Company’s listed securities during the year ended 31 December 2018.
39
CORPORATE GOVERNANCE PRACTICES
Throughout the period from the listing of the Company on the Main Board of the Stock Exchange on the Listing Date to 31 December 2018, the Company has applied and complied with all the code provisions in the Corporate Governance Code and Corporate Governance Report (the “ CG Code ”) contained in Appendix 14 to the Rules (the “ Listing Rules ”) Governing the Listing of Securities on the Stock Exchange, with one exception set out as follows.
Code Provision A.2.1 (Separation of the Roles of Chairman and Chief Executive Officer)
Mr. Sun Haitao acts as the Chairman, executive Director and Chief Executive Officer of the Company. While this will constitute a deviation from Code Provision A.2.1 of the CG Code, the Board believes that this structure will not impair the balance of power and authority between the Board and the management of the Company, given that: (i) decision to be made by the Board requires approval by at least a majority of the Directors and that the Board comprises three independent non-executive Directors out of seven Directors, which is more than the Listing Rules requirement of one-third, and the Board believes there is sufficient check and balance in the Board; (ii) Mr. Sun and the other Directors are aware of and undertake to fulfill their fiduciary duties as Directors, which require, among other things, that he acts for the benefit and in the best interests of the Company and will make decisions for the Group accordingly; and (iii) the balance of power and authority is ensured by the operations of the Board which comprises experienced and high calibre individuals who meet regularly to discuss issues affecting the operations of the Company. Moreover, the overall strategic and other key business, financial and operational policies of the Group are made collectively after thorough discussion at both Board and senior management levels. The Board will continue to review the effectiveness of the corporate governance structure of the Group in order to assess whether separation of the roles of Chairman and Chief Executive Officer is necessary.
Going forward, while Mr. Sun as the founder will continue to play a crucial role in steering the development and operation of the Group as a whole, as the business operation expands, the Company will present the key decisions for approval by the Board in accordance with the requirements of the Listing Rules, the Articles of Association and the laws of the Cayman Islands.
DIRECTORS’ SECURITIES TRANSACTIONS
The Company has adopted the Model Code for Securities Transactions by Directors of Listed Issuers (the “ Model Code ”) as set out in Appendix 10 to the Listing Rules as its code of conduct regarding securities transactions by the Directors. The Company has made specific enquiry with all Directors and all Directors confirmed that they have complied with the Model Code during the period from the Listing Date to 31 December 2018.
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REVIEW OF THE ANNUAL RESULTS
The Company has established the audit committee (the “ Audit Committee ”) in compliance with Rule 3.21 of the Listing Rules and the CG Code. The Audit Committee comprises two independent non-executive Directors and one non-executive Director, namely, Mr. Wong Ti, Mr. Wang Zhaocheng and Ms. Zou Yunli, respectively. Mr. Wong Ti is the chairman of the Audit Committee.
The Audit Committee has reviewed the audited consolidated annual results of the Group and the audited consolidated annual financial information for the year ended 31 December 2018. The Audit Committee has also reviewed and confirmed the accounting policies and practices adopted by the Company.
PUBLICATION OF ANNUAL REPORT
This results announcement is published on the websites of the Stock Exchange (http://www.hkexnews.hk) and the Company (http://www.u51.com). The annual report will be despatched to the shareholders of the Company and published on both websites on or before 30 April 2019.
By Order of the Board 51 Credit Card Inc.
Sun Haitao
Chairman, Chief Executive Officer and Executive Director
26 March 2019
As at the date of this announcement, the Board comprises Mr. Sun Haitao, Mr. Yang Yuzhi and Mr. Zhao Ke as executive Directors; Ms. Zou Yunli as a non-executive Director; and Mr. Wong Ti, Mr. Wang Zhaocheng and Mr. Ye Xiang as independent non-executive Directors.
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