9F (JFU) Accumulated Expenses (2018 - 2026)
9F (JFU) posted Accumulated Expenses of $28.36 million for Q4 2025, up 57.4% from $18.01 million a year earlier.
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Analysis
9F (JFU) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, 9F's Accumulated Expenses came in at $28.37 million, up 57.5% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- In prior years, 9F's Accumulated Expenses was $18.01 million in FY2024 (-4.6%), $18.88 million in FY2023 (-48.0%), $36.3 million in FY2022 (-50.5%) and $73.32 million in FY2021 (+349.4%).
- Quarterly Accumulated Expenses has run from a low of $17.79 million in Q4 2023 to a high of $121.77 million in Q2 2021 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last four quarters, with growth averaging 18.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 349.5%; the weakest was Q2 2023, with a decline of 57.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn |
| 10 | 9F | 53.45 Mn | -317.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.81 Mn |
| Dec 31, 2025 | 28.36 Mn |
| Jun 30, 2025 | 30.34 Mn |
| Dec 31, 2024 | 18.01 Mn |
| Jun 30, 2024 | 21.73 Mn |
| Dec 31, 2023 | 17.79 Mn |
| Jun 30, 2023 | 29.02 Mn |
| Dec 31, 2022 | 35.95 Mn |
| Jun 30, 2022 | 68.68 Mn |
| Dec 31, 2021 | 73.33 Mn |
| Jun 30, 2021 | 121.77 Mn |
| Dec 31, 2020 | 16.31 Mn |
| Jun 30, 2020 | 153.90 Mn |
| Dec 31, 2019 | 175.95 Mn |
| Sep 30, 2019 | 136.33 Mn |
| Jun 30, 2019 | 123.12 Mn |
| Dec 31, 2018 | 108.37 Mn |
API Access
9F 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=JFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "JFU", "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=JFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();