Jiayin (JFIN) Accumulated Expenses (2018 - 2026)
Jiayin's Accumulated Expenses came in at $155.36 million for Q2 2026, down 35.3% from $240.07 million a year earlier but up 19.5% from the prior quarter.
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Analysis
Jiayin (JFIN) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Jiayin's Accumulated Expenses was $125.07 million, up 5.4% from FY2024.
- Accumulated Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 63.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $118.7 million in FY2024 (+17.0%), $101.49 million in FY2023 (+22.3%), $82.95 million in FY2022 (+344.9%) and $18.64 million in FY2021 (+71.4%).
- The five-year range for quarterly Accumulated Expenses is $18.58 million (Q4 2021) to $240.07 million (Q2 2025).
- Year-over-year, Accumulated Expenses increased in five of the last eight quarters, with growth averaging 16.7%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2023 (growth of 499.0%), and the weakest in Q2 2026 (a decline of 35.3%).
- Business Quant data shows JFIN's Accumulated Expenses at $129.96 million (Q1 2026), $123.32 million (Q4 2025) and $186.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | PayPal Holdings | 49.59 Bn | 7.82 Bn | - |
| 2 | Block | 47.46 Bn | 18.72 Bn | 3.17 Bn |
| 3 | Coinbase Global | 44.60 Bn | 1.41 Bn | - |
| 4 | Corpay | 27.24 Bn | 17.44 Bn | - |
| 5 | Fiserv | 27.02 Bn | 23.72 Bn | 2.90 Bn |
| 6 | Global Payments | 22.82 Bn | 1.26 Bn | 2.03 Bn |
| 7 | Iren | 19.41 Bn | 7.01 Bn | 103.89 Mn |
| 8 | Guidewire Software | 15.55 Bn | 12.12 Bn | 269.68 Mn |
| 9 | Bitmine Immersion Technologies | 13.04 Bn | 10.42 Bn | 40.81 Mn |
| 10 | Jiayin | 67.37 Mn | -39.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.36 Mn |
| Mar 31, 2026 | 129.96 Mn |
| Dec 31, 2025 | 125.02 Mn |
| Sep 30, 2025 | 186.81 Mn |
| Jun 30, 2025 | 240.07 Mn |
| Mar 31, 2025 | 181.23 Mn |
| Dec 31, 2024 | 109.06 Mn |
| Sep 30, 2024 | 127.65 Mn |
| Jun 30, 2024 | 149.74 Mn |
| Mar 31, 2024 | 104.93 Mn |
| Dec 31, 2023 | 101.38 Mn |
| Sep 30, 2023 | 132.86 Mn |
| Jun 30, 2023 | 128.51 Mn |
| Mar 31, 2023 | 146.20 Mn |
| Dec 31, 2022 | 82.17 Mn |
| Sep 30, 2022 | 44.28 Mn |
| Jun 30, 2022 | 33.03 Mn |
| Mar 31, 2022 | 24.41 Mn |
| Dec 31, 2021 | 32.66 Mn |
| Sep 30, 2021 | 19.01 Mn |
API Access
Jiayin Accumulated Expenses 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=accumulated-expenses&ticker=JFIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=JFIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();