JFrog (FROG) Revenue (2019 - 2026)
JFrog's Revenue was $163.77 million in Q2 2026, up 28.7% from $127.22 million a year earlier and up 6.4% from the prior quarter.
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Analysis
JFrog (FROG) Revenue (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, JFrog's Revenue was $599.96 million through Jun 30, 2026, up 26.4% year-over-year; for FY2025, it came in at $531.84 million, up 24.1% from FY2024.
- Revenue has now increased for seven consecutive years, with a five-year compound annual growth rate of 28.7% (FY2020 to FY2025).
- In earlier years, Revenue was $428.49 million in FY2024 (+22.5%), $349.89 million in FY2023 (+24.9%), $280.04 million in FY2022 (+35.5%) and $206.68 million in FY2021 (+37.0%).
- The Q2 2026 figure marks the highest quarterly Revenue in data going back to Q3 2019.
- Compared with a year earlier, Revenue has increased for 24 straight quarters, with growth averaging 24.1% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 19.3% (Q4 2024) and 41.3% (Q1 2022) over the last five years.
- Per Business Quant data, FROG's Revenue in the three quarters before Q2 2026 was $153.98 million (Q1 2026), $145.31 million (Q4 2025) and $136.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn | 163.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.77 Mn |
| Mar 31, 2026 | 153.98 Mn |
| Dec 31, 2025 | 145.31 Mn |
| Sep 30, 2025 | 136.91 Mn |
| Jun 30, 2025 | 127.22 Mn |
| Mar 31, 2025 | 122.41 Mn |
| Dec 31, 2024 | 116.08 Mn |
| Sep 30, 2024 | 109.06 Mn |
| Jun 30, 2024 | 103.04 Mn |
| Mar 31, 2024 | 100.31 Mn |
| Dec 31, 2023 | 97.26 Mn |
| Sep 30, 2023 | 88.64 Mn |
| Jun 30, 2023 | 84.17 Mn |
| Mar 31, 2023 | 79.82 Mn |
| Dec 31, 2022 | 76.55 Mn |
| Sep 30, 2022 | 71.99 Mn |
| Jun 30, 2022 | 67.81 Mn |
| Mar 31, 2022 | 63.70 Mn |
| Dec 31, 2021 | 59.24 Mn |
| Sep 30, 2021 | 53.70 Mn |
API Access
JFrog Revenue 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=revenue&ticker=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();