Qfin Holdings, Inc.

Qfin Holdings, Inc.

3660.HK
Qfin Holdings, Inc.HK flagHong Kong Stock Exchange
60.50
HKD
+1.80
- -
14.75BMarket Cap
2016 Y
2017 Y
2018 Y
2019 Y
2020 Y
2021 Y
2022 Y
2023 Y
2024 Y
2025 Y
TTM
Revenue per Share
- -
2.1
18.37
24.69
39.1
46.48
44.62
41.79
47.11
60.35
58.71
Basic EPS, GAAP
- -
0.53
5.89
8.66
11.72
18.82
12.87
13.36
21.02
22.48
19.72
Free Cash Flow per Basic Share
- -
-0.38
1.36
10.21
17.81
18.76
18.86
21.93
30.84
40.69
40.34
Dividend per Share
- -
- -
- -
- -
- -
- -
3.16
2.94
4.24
5.17
- -
Book Value per Share
- -
0.46
-2.12
7.17
13.87
31.38
40.96
50.81
70.31
91.94
- -
Tangible Book Value per Share
- -
2.36
21.9
24.97
31.78
46.19
57.35
65.4
77.97
86.81
90.9
Basic Weighted Avg Shares
- -
312
203
289
298
307
313
321
298
266
257
Sales/Revenue/Turnover
- -
654
3,724
7,130
11,659
14,283
13,946
13,405
14,038
16,082
15,100
Operating Margin (%)
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
Depreciation Expense
- -
1
4
8
36
66
77
74
75
68
- -
Net Income, GAAP
- -
165
1,193
2,502
3,497
5,782
4,024
4,285
6,264
5,990
5,073
Effective Tax Rate (%)
- -
22.61
28.1
15.7
14.36
17.92
15.54
19.12
20.83
18.99
19.66
Profit Margin (%)
- -
25.2
32.04
35.08
29.99
40.48
28.85
31.97
44.62
37.25
33.6
Working Capital
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
LT Debt
- -
- -
- -
- -
- -
- -
- -
- -
- -
1,583
772
Total Equity
-22
734
4,440
7,215
9,481
15,217
18,931
22,010
24,246
24,157
24,396
Return on Invested Capital (%)
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
Return on Capital (%)
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
- -
Return on Common Equity (%)
- -
- -
- -
- -
112.63
83.91
35.86
29.45
33.63
26.35
- -

Capital Structure

FRC

in mil. unless spec.
Sep'25
Dec'25
Mar'26
ST Debt
1,492
2,240
1,417
LT Borrowings
4,835
1,583
772
LT Finance Leases
- -
- -
- -
Preferred Equity and Hybrid Capital
- -
- -
- -
Shares Outstanding
260
244
244
Market Capitalization
29,236
18,169
11,262

Working Capital

FRC

in mil. unless spec.
Sep'25
Dec'25
Mar'26
Total Current Assets
- -
- -
- -
Cash, Cash Equivalents & STI
10,922
7,549
6,548
Accounts Receivable, Net
2,017
972
724
Inventories
- -
- -
- -
Total Current Liabilities
- -
- -
- -
Payables & Accruals
21,604
22,774
19,811
ST Debt
1,492
2,240
1,417
Deferred Revenue
- -
- -
- -

Growth Rates

FRC

in mil. unless spec.

(avg. rate of change)

10 years
5 years
1 year
Total Equity
- -
22.19%
-0.37%
Free Cash Flow
- -
15.76%
17.99%
Net Income, GAAP
- -
16.65%
-4.38%
Sales/Revenue/Turnover
- -
7.11%
14.56%
Total Cash Common Dividend
- -
- -
9.12%

Quarterly Revenue

FRC

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2024
3,324
3,368
3,519
3,897
14,038
2025
4,099
4,329
4,352
3,409
16,082
2026
3,011
- -
- -
- -
- -

Quarterly Earnings Per Share

FRC

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2024
3.73
4.54
6.2
6.7
21.02
2025
6.41
6.52
5.48
3.96
22.48
2026
3.63
- -
- -
- -
- -

Quarterly Dividends Per Share

FRC

in mil. unless spec.

Year

Q1
Q2
Q3
Q4
FY
2024
- -
- -
- -
- -
4.24
2025
- -
- -
- -
- -
5.17
2026
- -
- -
- -
- -
- -

Company Description

MCPAPIChat
CEO
Haisheng Wu
Full Time Employees
3,557
Sector
Financial Services
Industry
Financial - Credit Services
Address
ARK Mori Building 34th Floor 1-12-32 Shanghai SH People's Republic of China 200331
IPO Date
Nov 29, 2022
Website
qfin.com
Business
Qfin Holdings, Inc. is a leading AI-empowered Credit-Tech platform in China that connects financial institutions with consumers and small- and medium-sized enterprises seeking credit services, delivering technology-driven solutions across the loan lifecycle and generating revenue from loan facilitation fees, interest income on risk-bearing loans, and technology licensing; the company prioritizes scalable AI-driven credit assessment, multi-channel borrower sourcing, funding optimization, risk management, and post-lending operations, while expanding its platform services to diversify away from capital-heavy lending. Headquartered in Hong Kong (HKEX:3660) with a primary business focus on China’s consumer finance and SME credit markets, Qfin operates through a dual business model encompassing credit-driven services and platform services, leveraging AI models, big data analytics, and data partnerships to improve borrower identification, underwriting, and collections, and to connect financial institutions with a broad borrower base. Founding year is 2014 and headquarters are in Shenzhen, China, with a significant corporate presence in Beijing and other major Chinese cities; the company maintains partnerships with a broad network of financial institution partners and continuously develops international expansion plans, including pilot operations in select overseas markets as part of a strategic shift toward geographic diversification and global growth. Main products and services include AI-powered credit risk assessment and underwriting platforms; loan facilitation and origination services for consumer and SME borrowers; risk management and debt collection optimization solutions; data analytics and modeling services with over 2,400 models and hundreds of thousands of data dimensions; technology licensing and platform-as-a-service offerings for financial partners; integrations with multi-channel borrower sourcing, credit decisioning, and post-loan servicing tools; customer acquisition, funding optimization, and lifecycle management enhancements for lenders. Recent major changes include strategic refinements to shift from capital-heavy lending toward AI-native platform expansion; announced partnerships and alliances with financial institutions to broaden the network of lending partners; ongoing overseas market entry initiatives and execution of international pilots; and quarterly updates signaling growth in active institutional partners and consumer reach, along with a focus on credentialing and regulatory readiness for cross-border operations. In 2025–2026 the company reports continued growth in its connected borrower and partner metrics, progress in overseas market pilots, and investments in international credentials to support broader geographic expansion, while maintaining governance and compliance to support scalable, sustainable growth. These developments reflect a broader industry trend toward credit-tech ecosystems that blend underwriting technology, data-driven credit decisioning, and cross-border expansion to serve diverse financial institution clients and a growing base of credit-seeking consumers and SMEs.