9F (JFU) Accumulated Expenses (2018 - 2025)
9F (JFU) posted Accumulated Expenses of $27.98 million for Q4 2025, up 52.9% from $18.3 million a year earlier.
Powered by 
Analysis
9F (JFU) Accumulated Expenses (2018 - 2025) 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 -16.9% (FY2020 to FY2025).
- In prior years, 9F's Accumulated Expenses was $18.01 million in FY2024 (-72.5%), $65.56 million in FY2023 (-2.9%), $67.49 million in FY2022 (-7.8%) and $73.2 million in FY2021 (+2.4%).
- Quarterly Accumulated Expenses has run from a low of $17.56 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 17.9%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2021, with growth of 355.2%; 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 | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | 9F | 64.05 Mn | 72.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 27.98 Mn |
| Jun 30, 2025 | 30.34 Mn |
| Dec 31, 2024 | 18.30 Mn |
| Jun 30, 2024 | 21.73 Mn |
| Dec 31, 2023 | 17.56 Mn |
| Jun 30, 2023 | 29.02 Mn |
| Dec 31, 2022 | 35.20 Mn |
| Jun 30, 2022 | 68.68 Mn |
| Dec 31, 2021 | 73.08 Mn |
| Jun 30, 2021 | 121.77 Mn |
| Dec 31, 2020 | 16.06 Mn |
| Jun 30, 2020 | 153.90 Mn |
| Dec 31, 2019 | 174.39 Mn |
| Sep 30, 2019 | 136.33 Mn |
| Jun 30, 2019 | 123.12 Mn |
| Dec 31, 2018 | 177.77 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();