JFrog (FROG) Shares Outstanding (Diluted) (2020 - 2026)
JFrog's Shares Outstanding (Diluted) came in at 121.82 million for Q2 2026, up 5.7% from 115.25 million a year earlier and up 1.4% from the prior quarter.
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Analysis
JFrog (FROG) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, JFrog's Shares Outstanding (Diluted) was 116.2 million, up 5.9% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last five years, with a five-year compound annual growth rate of 20.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 109.69 million in FY2024 (+6.2%), 103.32 million in FY2023 (+4.1%), 99.24 million in FY2022 (+4.7%) and 94.78 million in FY2021 (+103.9%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2020.
- Year-over-year, Shares Outstanding (Diluted) has increased for 21 consecutive quarters, with growth averaging 6.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 3.4% in Q1 2023 to 151.2% in Q3 2021.
- Business Quant data shows FROG's Shares Outstanding (Diluted) at 120.16 million (Q1 2026), 116.2 million (Q4 2025) and 117.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | JFrog | 11.94 Bn | 9.02 Bn | 127.62 Mn | 121.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121.82 Mn |
| Mar 31, 2026 | 120.16 Mn |
| Dec 31, 2025 | 116.20 Mn |
| Sep 30, 2025 | 117.26 Mn |
| Jun 30, 2025 | 115.25 Mn |
| Mar 31, 2025 | 113.45 Mn |
| Dec 31, 2024 | 109.69 Mn |
| Sep 30, 2024 | 110.77 Mn |
| Jun 30, 2024 | 108.94 Mn |
| Mar 31, 2024 | 107.03 Mn |
| Dec 31, 2023 | 103.32 Mn |
| Sep 30, 2023 | 104.13 Mn |
| Jun 30, 2023 | 102.51 Mn |
| Mar 31, 2023 | 101.26 Mn |
| Dec 31, 2022 | 99.24 Mn |
| Sep 30, 2022 | 99.62 Mn |
| Jun 30, 2022 | 98.96 Mn |
| Mar 31, 2022 | 97.88 Mn |
| Dec 31, 2021 | 94.78 Mn |
| Sep 30, 2021 | 95.71 Mn |
API Access
JFrog 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=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "FROG", "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=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();