9F (JFU) Price to Book (2019 - 2025)
9F's (JFU) Price to Book was 0.28 for Q4 2025, up 305.1% from 0.07 a year earlier.
Analysis
9F (JFU) Price to Book (2019 - 2025) Analysis & Trends
Dating back to Q3 2019, 9F's Price to Book record includes 14 quarters.
- By year, Price to Book came in at 0.07 in FY2024 (-11.6%), 0.08 in FY2023 (-47.6%), 0.15 in FY2022 (-80.2%) and 0.77 in FY2021 (+16.8%).
- The Q4 2025 figure ranks as the highest quarterly Price to Book since Q2 2022.
- Year over year, Price to Book gained in two of the last four quarters, with growth averaging 61.4%.
- The high point for year-over-year Price to Book in five years was Q4 2025 (growth of 305.1%); the low point was Q2 2021 (a decline of 98.9%).
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 | 0.28 |
| Jun 30, 2025 | 0.05 |
| Dec 31, 2024 | 0.07 |
| Jun 30, 2024 | 0.04 |
| Dec 31, 2023 | 0.08 |
| Jun 30, 2023 | 0.14 |
| Dec 31, 2022 | 0.16 |
| Jun 30, 2022 | 0.65 |
| Dec 31, 2021 | 0.78 |
| Jun 30, 2021 | 0.02 |
| Dec 31, 2020 | 0.66 |
| Jun 30, 2020 | 1.76 |
| Dec 31, 2019 | 4.17 |
| Sep 30, 2019 | 1.41 |
API Access
9F Price to Book 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=price-to-book&ticker=JFU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=JFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();