Ladies and gentlemen, thank you for standing by, and welcome to the Qifu Technology Third Quarter 2023 Earnings Conference Call. [Operator Instructions] Please also note today's event is being recorded. At this time, I would like to turn the conference call over to Ms. Karen Chi [ph], Senior Director of Capital Markets. Please go ahead, Karen..

Thank you, Desmond. Hello, everyone, and welcome to Qifu Technology's third quarter 2023 earnings conference call. Our earnings release was distributed earlier today and is available on our IR website. Joining me today are Mr. Wu Haisheng, our CEO; Mr. Alex Xu, our CFO; and Mr. Zheng Yan, our CIO.

Before we start, I would like to refer you to our safe harbor statement in the earnings press release, which applies to this call as we will make certain forward-looking statements. Also, this call includes discussions of certain non-GAAP financial measures.

Please refer to our earnings release, which contains a reconciliation of non-GAAP financial measures to GAAP financial measures. Also, please note that unless otherwise stated, all figures mentioned in this call are in RMB term.

Before we start, please also note that today's prepared remarks from our CEO will be delivered in English using an AI-generated voice. Now I will turn the call over to Mr. Wu Haisheng. Please go ahead..

a joint stock, internet and private bank. To cater to the diverse needs of our banking partners, we adopted various deployment models and are committed to providing them with end-to-end technology solutions as well. Going forward, we will extend our end-to-end technology solutions to more financial institution partners to scale up our client base.

In the long run, we expect a steady increase in the take rate for our technology solutions business. Additionally, we continued to invest in cutting-edge technologies such as artificial intelligence and large language models.

On September 18, we partnered with the China Academy of Information and Communications Technology to officially unveil the first domestic standard for large language models in the financial sector. The standard will serve as a crucial reference and benchmark for the design, development, application and review of large language models in finance.

At the same time, we purchased hundreds of graphics cards and have been exploring the application of AI GC technology to improve efficiency throughout the entire credit process by conducting tests or implementing it in advertising, telemarketing, loan collection and quality control.

For example, our telemarketing system is now able to conduct semantic analysis and extract valuable leads from each conversation, improving our telemarketing conversion rate by more than 5%. In addition, around 70% of our image-based marketing materials are currently generated by AIGC.

In the future, we will use large language models to tag and rate these materials from multiple dimensions to optimize ad placements and boost marketing effectiveness. Looking back at the past three quarters.

Despite a challenging macro environment, we remain vigilant about market conditions and improved our earnings quality by further optimizing operations and fine-tuning our business model. Since Q3, certain macro indicators are showing marginal improvement as a result of multiple supporting policies.

Against this backdrop, we are confident in our ability to continuously make breakthroughs and create value for our shareholders with better results. With that, I will now turn the call over to our CFO, Alex Xu, who will walk you through our financial results for the quarter..

Okay. Thank you, Haisheng. Good morning, and good evening, everyone. Welcome to our third quarter earnings call.

Facing slower-than-expected macro recovery and worsening consumer sentiment, we proactively took actions in Q3 to optimize our product and service offerings, strengthened relationship with users and key partners, aiming to drive long-term sustainable quality growth.

In Q3, we saw some volatility in asset quality and key leading risk metrics start to fluctuate from historical best levels achieved in previous quarters. Day 1 delinquency was 4.6% in Q3 versus 4.2% in Q2. The uptick in day 1 delinquency mainly reflect borrowers' negative sentiment toward the ongoing macro uncertainties.

30-day collection rate was 86.7% in Q3 versus 87.2% in Q2. This modest decline also was driven by macro weakness. Throughout Q3, we have proactively adjusted our risk management models and gradually applied more restrictive standards on incoming applications. By late September, we started to see stable credit quality among new borrowers.

As economic conditions remain challenging, we may continue to see some fluctuation of these metrics in the near future, although overall risk level should still be manageable with our continued effort to proactively mitigate risks. Total net revenue for Q3 was RMB 4.3 billion versus RMB 3.9 billion in Q2 and RMB 4.1 billion a year ago.

Revenue from credit-driven service, capital heavy, was RMB 3.1 billion in Q3 compared to RMB 2.8 billion in Q2 and RMB 2.9 billion a year ago. The year-on-year growth was mainly due to growth in on-balance sheet loans partially offset by decline in expected average tenor of the loans.

The sequential increase reflected growth in loan balance as well as continued improvement in effective tenors. On-balance sheet loans account for over 19% of total loan volume. Overall funding costs further declined by roughly 20 bps with the help of our strong relationship with financial institution partners as well as additional issuance of ABS.

Revenue from platform service capital light was RMB 1.2 billion in Q3 compared to RMB 1.1 billion in Q2 and RMB 1.2 billion a year ago. The sequential growth was mainly due to continued improvement in overall effective tenor of the loans and strong contribution from ICE. Substantially offsetting the decline in capital light loan facilitation volume.

For Q3, capital-light loan facilitation, ICE and other tech solutions combined account for roughly 56% of the total loan volume compared to roughly 58% in prior quarter. We expect this ratio to be roughly stable around this level for the year.

We will continue to evaluate different components of our operation and seek a better mix between risk-bearing and non-risk-bearing solutions based on macro environment and operational conditions.

In Q3, we saw continued sequential improvement in revenue take rate for both cap heavy and cap light business as early repayment ratio gradually return to normal levels and effective tenors gradually extended.

During the quarter, average IRR of the loans we originated and/or facilitated remained stable Q-on-Q, well within the regulatory rate cap requirement. Looking forward, we expect pricing to be fluctuating in a narrow band around this level for the coming quarters. Sales and marketing expenses increased 21% Q-on-Q but declined 15% year-on-year.

We added over 1.7 million new credit line users in Q3 compared to 1.5 million in Q2. Unit cost to acquire a new credit line user also increased modestly Q-on-Q to 306 from 296 in Q2. While we will continue to drive for efficiency in our operation, we may adjust the pace of our new user acquisition based on macro conditions from time to time.

As Haisheng mentioned, we have made noticeable progress in diversifying our user acquisition channels during the quarter. Meanwhile, we will continue to focus on reenergizing existing user base as repeat borrowers historically contribute vast majority of our business.

As macro uncertainties persist and credit quality fluctuate, we will continue to take prudent approach to book provisions against potential credit losses. Total new provision for risk-bearing loans in Q3 were approximately 2.1 billion, and write-backs of previous provisions were approximately 600 million.

Provision coverage ratio, which is defined as total outstanding provision divided by total outstanding delinquent loan balance between 90 and 180 days were 534% in Q3 compared to 511% in Q2. Non-GAAP net profit was RMB 1.18 billion in Q3 compared to RMB 1.15 billion in Q2.

Effective tax rate for Q3 was over 22% compared to our typical ETR of approximately 15%. The higher ETR in Q3 was mainly due to additional withholding tax provision related to cash distribution from onshore to offshore for dividend payments and share repurchase program.

Please also note, our second quarter earnings was helped by a tax rebate of approximately RMB 160 million. Excluding the tax rebate, non-GAAP net income actually grew approximately 16% sequentially in Q3.

With solid operating results and stable contribution from cap-light models, our leverage ratio, which is defined as risk-bearing loan balance divided by shareholders' equity, was 3.5 times in Q3, near historical low compared to 3.8 times a year ago. We expect to see the leverage ratio fluctuate around this level in the near future.

We generate approximately RMB 1.2 billion cash from operations in Q3 compared to RMB 1.8 billion in Q2. The decline was mainly due to the change in working capital at the end of the quarter. Total cash and cash equivalents was RMB 8.2 billion in Q3 compared to RMB 8.5 billion in Q2.

Non-restricted cash was approximately RMB 4.9 billion in Q3 compared to RMB 5.3 billion in Q2. The sequential decline in cash position was mainly due to increased cash usage in our on-balance sheet lending.

As we discussed earlier, we will continue to look for opportunities to deploy resources to launch new initiatives, develop new technologies and expand services offerings.

As we continue to generate healthy cash flow from operations, we believe our current cash position is sufficient to support our business development and to return to our shareholders. In June 20, 2023, we announced a share buyback program to repurchase up to 150 million over a 12-month period.

As of November 16, 2023, we have bought approximately $80 million worth of ADS in open market at an average price around $16.2. We will continue to execute the buyback program in accordance with related rules and regulations. With the fully execution of the repurchase program and the dividend plan, the combined payout ratio will exceed 50%.

Going forward, we will continue to optimize our capital allocation plan and make timely adjustments to generate attractive returns to our shareholders. Finally, regarding our outlook. While macro recovery appears slower than expected, we remain confident to achieve our operational targets for the year.

As such, we now expect Q4 total loan volume to be between RMB 116 billion and RMB 126 billion and for the full year, total loan volume to be between RMB 473 billion and RMB 483 billion, representing year-on-year growth of 15% to 17%. As always, this forecast reflects the company's current and preliminary view, which is subject to material changes.

With that, I would like to conclude our prepared remarks. Operator, we can now take some questions..

[Operator Instructions] For those who can speak Chinese, please ask kindly ask your question in Chinese first, followed by English translation. In addition, in order to have enough time to adjust everyone on the call, please keep it to one question and one follow-up and return to the queue, if you have more questions.

The first question comes from the line of Richard Xu from Morgan Stanley. Please go ahead. .

Essentially I have two questions. One is, exactly what's the credit demand trend at the moment. Particularly there's some demand for the consumption from the SME client base.

What are the differences between the trends from the typical consumption loan demand and also any differences in strategy and risk management? Secondly is what's the funding cost and whether there's further room to reduce funding costs in the future? Thanks. .

Okay. Thank you, Richard. I want to highlight that the prepared remarks just now delivered was generated by our large language model team. But for Q&A part, I will still answer the question in Chinese. Regarding your question, stepping into Q4, we have observed the credit demand slightly trending down.

In particular, credit demand was soft in October, mainly due to the seasonality factor during the national holiday, and after that, it maintained stable into November.

From user segment's perspective, the credit demand from broadly defined SME segment is slightly better than our consumer sector, and we do see some divergence from industry perspective. For example, the service sector, like sports, entertainment and also the technology sector are better than the others.

Compared to consumer segments, the broadly defined SME segment has more stable credit demand and generates higher value. We expect to enhance our ability to identify the user group and use diversified products and services to improve our customers experience and their stickiness as well.

Here, we would like to emphasize our broadly defined SME users are totally different from traditional SMEs as their ticket size is much smaller and our risk model are more based on individual profiles with the business data and supplementary information and therefore, the risk performance of our broadly defined SME users are much better.

And I would like to invite our CIO, Mr. Zheng Yan, to add on the risk part..

As Haisheng just mentioned, our risk management mechanism for the broadly defined SME segment is different from the traditional SME sector, in the sense that our risk model is primarily based on personal data of the business owner with the enterprise data as the secondary layer of information input.

Upon users' approval, we integrated personal credit data with the SME specific data source, for example, the tax, invoice, cash flow, billings, et cetera, based on our sophisticated algorithm, so we can better evaluate the creditworthiness of the SME borrowers.

As this segment normally has urgent and higher credit amount, so we combined the fixed credit line with additional temporary credit lines in relation to certain seasonal events like Double 11 Shopping Festival on June 16, et cetera, so we can better serve all kinds of needs of the SME users..

Regarding the funding cost, our cost of funding declined by 20 bps sequentially in Q3 with our ABS issuance costs down by 47 bps. And our current funding cost is quite similar to the Q3 level. From a rate-cutting perspective, theoretically, rate cutting can drive down the funding cost of financial institutions and eventually benefit the real economy.

However, due to the complex macro environment in this year, we didn't see it help that much. Our funding costs decline this year was mainly driven by the supply and demand dynamics in the market as the funding partners allocated more resources to consumer loan assets when the mortgage loan is underperforming this year.

Given the scarcity of our assets, we managed to continue to optimize our funding costs in this year. However, since September, there is some other factors, including government financing, property sectors are also attracting funding flows, which may put pressure on the further reduction of our funding cost.

We will continue to -- going forward, we will continue to optimize our funding structure and keep the pace or even expand our ABS issuance to maintain our competitive advantage from the funding part and maintain our funding cost at a stable level..

I'll now move on to the next questions from Alex Ye from UBS. Please go ahead. .

So my first question is about the asset quality outlook.

Can you give us more color in terms of the reason for causing fluctuations in Q3? Is it more driven by the macro environment or some of the industry-specific reasons such as your collection efficiency? And what's the latest trend in Q4 in the most recent months? And the second question is on the loan pricing outlook.

So in September, we have seen China lowering the mortgage rate for the existing mortgages. So in that kind of a backdrop, do you expect the current lower interest rate environment to also translate into some of the downward pressure to our loan pricing in the future? Thank you..

Okay. I will do the translation. The fluctuation of our asset quality in Q3 was mainly a result of two factors adding together. The first is, from a macro perspective, the key macro indicators are below the expectation.

The second reason is that the seasonality of the credit industry in the sense that the liquidity is typically better in the first half than second half, which led to some fluctuation of our asset quality in Q3.

However, we expect the situation, especially the liquidity situation, will improve in early next year, which may help improve the risk performance of our new loans issued in Q4.

At the same time, we swiftly adjusted our operations by upgrading our user base, tightening our credit assessment criteria and reducing the exposure of our existing borrowers since Q3. Accordingly, our early risk indicators for new loans say our FPD7 [ph] improved by 5% sequentially in September, and we expect it to continue to improve in October.

And in Q4, we have further strengthened our risk management tools from three aspects. First, we incorporated the scorecard data from three leading Internet platforms and build joint model with those platforms.

Second, we deep dive into our internal data and upgrade our regular B-scorecard by further leveraging our app data and PBOC data, using sequence algorithm and large models to -- large language models to construct risk, sub-analysis aiming for an integrated B scorecard and further improved screening capability by the end of November.

Third, we will upgrade our post-lending risk models and generate fast responding B scorecard rating system by end of December, primarily based on recent samples, which is more helpful for us to identify new risks. Putting together all these efforts, we expect the risk performance of the new loans originated in November and December will stabilize..

Regarding pricing, I would say, from our own intention perspective, we will conduct different pricing tests for various customer groups to improve user stickiness and satisfaction. Through more attractive pricing, we are also able to acquire quality new users to improve our user mix. Meanwhile, we will also raise our pricing for higher-risk users.

Combined, our average pricing will continue to keep stable. Under current macro environment, consumer finance is also one of the means to boost consumption and economy. Under the current regulatory system, this is a multilayer supply system for the consumer credit industry.

And based on that, we will also set price based on supply and demand dynamics and actively play our role to drive the consumption and help SME players..

Next question comes from the line of Emma Xu of Bank of America Securities. Please go ahead..

So my question is about your shareholder capital return. It's really encouraging to see that you continue to buy back your shares at current level. And I just want to ask whether you will continue to do the buyback.

And after the completion of the current buyback program, will you launch more buyback program in the future?.

Okay. Emma, I will take this question. So as you said, we already did $80 million repurchase since June 20, well ahead the time line. And obviously, we will continue to execute the current repurchase program throughout the remainder of the year and also into next year.

We already structured internally a very kind of a comprehensive system to periodically review our cash position as well as the use -- the efficient usage of the cash, try to compare the expected return between the reinvestment in operations and the return generated from either the buyback or the dividend payment.

Through this kind of a review, we will determine which is the best way to deploy additional cash or additional resource in the future.

So we -- after we complete the current buyback program as well as this year's dividend plan, we will do a new review based on the cash position at that point and make necessary changes to the shareholder return program either through a buyback or through a dividend or through some kind of a combination of the both.

In summary, basically, the logic behind our future cash deployment is based on whichever method can generate the highest shareholder return. Then, we will use the cash to that direction..

Next question, we have the line from Cindy Wang from China Renaissance. Please go ahead. .

Thanks management team to giving this opportunity. So my question is about the management strategy for capital-light and capital-heavy assets.

Can you help us breakdown the current profit margins of capital-light and capital-heavy loans? And how does the management view the proportion of capital light and the capital heavy loans in the future? So compared with the growth of loan volume, will company be more focused on the profitability in 2024?.

Okay. Thanks, Cindy. Regarding the profitability of our capital-heavy, capital-light business model, I would say both capital-heavy and capital-light loan facilitation model generates a roughly 3% net take rate with capital heavy a little bit higher than 3% and the capital light a little bit lower but pretty close to 3%.

In terms of the loan mix, we will balance profitability and the long-term healthiness of our loan portfolio and keep a dynamic balance between these two categories. Regarding the importance of loan volume versus profitability, I would say it is not our priority to either pursue loan growth or pursue probability improvement.

If we only pursue profitability, we can just all do as a heavy business like some other platforms. But our target is to balance profitability and the long-term healthiness and the sustainability of our loan portfolio. So we expect loan mix will maintain largely stable in the foreseeable future..

Yes. I probably want to add one little point here, is that, this year, in 2023 because the macro factors and also because the first half of the year, we are facing a tough comp in terms of pricing versus last year. That's why you see the profitability growth is slower than the loan volume growth for 2023.

And I would say, these kind of negative factors related to profitability is already behind us. So in the future years, we will try to at least maintain the same pace in terms of between the volume and the profitability. If anything, we try to also drive some additional operating leverages in the future. Thank you, Cindy..

Our next question comes from the line of Yada Li from CICC. Please go ahead. .

Then, I'll do my translation. Hello management, thanks for taking my question. This is Yada [Technical difficulty]. .

Okay. Because we understand your question, so we can go ahead and answer this question. Okay. Regarding the take rate, I would say, in the short run, we will see some fluctuation in terms of our credit costs and funding costs.

In this regard, we will further fine-tune our operations, optimize our funding structure and invest more resources into R&D to improve our operational efficiency and funding costs. With those cost and efficiency improved, we will mitigate largely the fluctuation. So we will see the take rate maintain stable in the short term.

Actually, if you look at the -- our take rate in Q3, it's actually improved sequentially from apple-to-apple perspective with diversified services offered to our users and optimizing our asset allocation.

But because we expanded our customer outreach in Q3 and adding on additional tax costs related to our dividend and the share buyback program, it looks like our take rate in Q3 maintained stable from last quarter.

From a long-term perspective, we will further improve our operational efficiency, and we do hope to see a steady increase in our take rate..

I see no more questions from the phone line. I would like to hand the call back to management for closing remarks..

Okay. Thanks again for everyone joining us for the call. If you have additional questions, please feel free to contact us off-line. Thank you. Have a good day..

Ladies and gentlemen, that concludes today's conference call. Thank you for your participation. You may now disconnect your lines..