9F (JFU) Shares Outstanding (Diluted) (2017 - 2026)
9F's Weighted Average Shares Outstanding (Diluted) came in at 11.8 million for Q4 2025, unchanged from 11.8 million a year earlier.
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Analysis
9F (JFU) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
Going back to Q4 2017, 9F's Weighted Average Shares Outstanding (Diluted) data covers 19 quarters.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 11.8 million in FY2024 (+0.2%), 11.77 million in FY2023 (+1.0%), 11.66 million in FY2022 (+9.2%) and 10.68 million in FY2021 (+7.6%).
- The Q4 2025 figure represents the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2017.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) increased in three of the last four quarters, with growth averaging 0.3%.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.0% (Q4 2025) to 13.8% (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | 349.26 Mn |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 742.60 Mn |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 375.01 Mn |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | 160.22 Mn |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 178.81 Mn |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | 42.88 Mn |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 82.00 Mn |
| 10 | 9F | 53.45 Mn | -317.10 Mn | - | 11.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.80 Mn |
| Dec 31, 2025 | 11.80 Mn |
| Jun 30, 2025 | 11.80 Mn |
| Dec 31, 2024 | 11.80 Mn |
| Jun 30, 2024 | 11.77 Mn |
| Dec 31, 2023 | 11.77 Mn |
| Jun 30, 2023 | 11.66 Mn |
| Dec 31, 2022 | 11.66 Mn |
| Jun 30, 2022 | 10.68 Mn |
| Dec 31, 2021 | 10.68 Mn |
| Jun 30, 2021 | 9.93 Mn |
| Dec 31, 2020 | 9.93 Mn |
| Jun 30, 2020 | 8.73 Mn |
| Dec 31, 2019 | 8.73 Mn |
| Sep 30, 2019 | 9.29 Mn |
| Jun 30, 2019 | 9.29 Mn |
| Dec 31, 2018 | 9.29 Mn |
| Sep 30, 2018 | 6.92 Mn |
| Jun 30, 2018 | 6.92 Mn |
| Dec 31, 2017 | 6.92 Mn |
API Access
9F Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=JFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=JFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();