Jiayin (JFIN) Total Liabilities (2018 - 2026)
Jiayin's Total Liabilities was $641.69 million in Q2 2026, up 35.8% from $472.38 million a year earlier and up 6.4% from the prior quarter.
Analysis
Jiayin (JFIN) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Jiayin came in at $609.73 million, up 95.0% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $312.67 million in FY2024 (-32.0%), $459.77 million in FY2023 (+78.2%), $257.99 million in FY2022 (+76.0%) and $146.61 million in FY2021 (+2.2%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2018.
- Compared with a year earlier, Total Liabilities has increased for six straight quarters, with growth averaging 26.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2023 (growth of 140.3%); the worst was Q4 2024 (a decline of 29.9%).
- Per Business Quant data, JFIN's Total Liabilities in the three quarters before Q2 2026 was $603.05 million (Q1 2026), $609.73 million (Q4 2025) and $503.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 50.23 Bn | 8.45 Bn | - | 62.92 Bn |
| 2 | Block | 46.85 Bn | 18.15 Bn | 3.17 Bn | 17.11 Bn |
| 3 | Coinbase Global | 46.71 Bn | 3.52 Bn | - | 13.38 Bn |
| 4 | Corpay | 26.70 Bn | 16.59 Bn | - | 24.64 Bn |
| 5 | Fiserv | 25.72 Bn | 22.40 Bn | 2.90 Bn | 53.96 Bn |
| 6 | Global Payments | 22.62 Bn | 412.61 Mn | 2.03 Bn | 39.81 Bn |
| 7 | Guidewire Software | 15.37 Bn | 11.94 Bn | 269.68 Mn | 1.38 Bn |
| 8 | Bitmine Immersion Technologies | 13.22 Bn | 10.60 Bn | 40.81 Mn | 30.13 Mn |
| 9 | Chime Financial | 11.55 Bn | 7.34 Bn | 594.87 Mn | 591.83 Mn |
| 10 | Jiayin | 69.20 Mn | -37.54 Mn | - | 643.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 643.16 Mn |
| Mar 31, 2026 | 604.36 Mn |
| Dec 31, 2025 | 617.91 Mn |
| Sep 30, 2025 | 506.40 Mn |
| Jun 30, 2025 | 472.38 Mn |
| Mar 31, 2025 | 375.90 Mn |
| Dec 31, 2024 | 312.50 Mn |
| Sep 30, 2024 | 341.80 Mn |
| Jun 30, 2024 | 383.64 Mn |
| Mar 31, 2024 | 368.67 Mn |
| Dec 31, 2023 | 459.31 Mn |
| Sep 30, 2023 | 417.83 Mn |
| Jun 30, 2023 | 371.07 Mn |
| Mar 31, 2023 | 386.56 Mn |
| Dec 31, 2022 | 255.54 Mn |
| Sep 30, 2022 | 199.50 Mn |
| Jun 30, 2022 | 183.35 Mn |
| Mar 31, 2022 | 161.55 Mn |
| Dec 31, 2021 | 148.41 Mn |
| Sep 30, 2021 | 175.83 Mn |
API Access
Jiayin Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=JFIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "JFIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=JFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();