9F (JFU) Receivables - Doubtful (2018 - 2025)
9F (JFU) recorded Receivables - Doubtful of $1.49 million in Q4 2025, up 695.6% from $186,827 a year earlier.
Analysis
9F (JFU) Receivables - Doubtful (2018 - 2025) Analysis & Trends
At the end of FY2025, 9F reported Receivables - Doubtful of $1.47 million, up 685.5% from FY2024.
- Annual Receivables - Doubtful has a five-year compound annual growth rate of 99.4% (FY2020 to FY2025).
- Across earlier years, Receivables - Doubtful came in at $186,767 in FY2024 (-99.8%), $81.39 million in FY2023, $1.89 million in FY2022 (-58.7%) and $4.57 million in FY2021.
- The Q4 2025 figure is the highest quarterly Receivables - Doubtful since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Doubtful (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 | - | 1.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.49 Mn |
| Dec 31, 2024 | 186,827.50 |
| Dec 31, 2023 | 79.88 Mn |
| Dec 31, 2022 | 20.55 Mn |
| Dec 31, 2021 | 4.61 Mn |
| Dec 31, 2020 | 48,421.66 |
| Dec 31, 2019 | 10.47 Mn |
| Dec 31, 2018 | 21.18 Mn |
API Access
9F Receivables - Doubtful 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=receivables-doubtful&ticker=JFU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-doubtful", "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=receivables-doubtful&ticker=JFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();