9F (JFU) Other Operating Expenses (2018 - 2019)
9F's Other Operating Expenses came in at $10.29 million for FY2025, down 26.9% from $14.08 million in FY2024.
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Analysis
9F (JFU) Other Operating Expenses (2018 - 2019) Analysis & Trends
Going back to FY2016, 9F's Other Operating Expenses data covers 10 years.
- Other Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -44.1% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Other Operating Expenses in data going back to FY2016.
- Per Business Quant, earlier years put Other Operating Expenses at $14.08 million in FY2024 (-63.5%), $38.6 million in FY2023 (-8.4%), $42.14 million in FY2022 (+13.9%) and $36.99 million in FY2021 (-80.4%).
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 |
|---|---|
| Dec 31, 2019 | 480.90 Mn |
| Sep 30, 2019 | 168.56 Mn |
| Jun 30, 2019 | 86.01 Mn |
| Dec 31, 2018 | 62.93 Mn |
| Sep 30, 2018 | 64.59 Mn |
| Jun 30, 2018 | 124.48 Mn |
API Access
9F Other Operating 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=other-operating-expenses&ticker=JFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=JFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();