JFrog (FROG) Free Cash Flow (2019 - 2026)
JFrog's Free Cash Flow was $53.75 million in Q2 2026, up 51.6% from $35.46 million a year earlier and up 44.2% from the prior quarter.
JFrog (FROG) Free Cash Flow (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, JFrog's Free Cash Flow was $169.7 million through Jun 30, 2026, up 22.3% year-over-year; for FY2025, it was $142.27 million, up 32.0% from FY2024.
- Free Cash Flow has now increased for three consecutive years, with a five-year compound annual growth rate of 40.6% (FY2020 to FY2025).
- In earlier years, Free Cash Flow was $107.78 million in FY2024 (+49.3%), $72.17 million in FY2023 (+322.1%), $17.1 million in FY2022 (-27.8%) and $23.67 million in FY2021 (-8.7%).
- The Q2 2026 figure marks the highest quarterly Free Cash Flow in data going back to Q4 2019.
- Compared with a year earlier, Free Cash Flow has increased for eight straight quarters, with growth averaging 42.9% over the last eight quarters.
- The best year-over-year quarter for Free Cash Flow over five years was Q3 2023 (growth of 564.3%); the worst was Q2 2022 (a decline of 83.6%).
- Per Business Quant data, FROG's Free Cash Flow in the three quarters before Q2 2026 was $37.29 million (Q1 2026), $49.86 million (Q4 2025) and $28.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 1.25 Bn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 405.86 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 965.60 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 83.80 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 305.98 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 233.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | -972,000.00 |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 2.18 Bn |
| 10 | JFrog | 11.12 Bn | 8.20 Bn | 127.62 Mn | 53.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.75 Mn |
| Mar 31, 2026 | 37.29 Mn |
| Dec 31, 2025 | 49.86 Mn |
| Sep 30, 2025 | 28.81 Mn |
| Jun 30, 2025 | 35.46 Mn |
| Mar 31, 2025 | 28.15 Mn |
| Dec 31, 2024 | 48.48 Mn |
| Sep 30, 2024 | 26.70 Mn |
| Jun 30, 2024 | 15.97 Mn |
| Mar 31, 2024 | 16.63 Mn |
| Dec 31, 2023 | 31.98 Mn |
| Sep 30, 2023 | 25.39 Mn |
| Jun 30, 2023 | 16.20 Mn |
| Mar 31, 2023 | -1.40 Mn |
| Dec 31, 2022 | 6.42 Mn |
| Sep 30, 2022 | 3.82 Mn |
| Jun 30, 2022 | 2.96 Mn |
| Mar 31, 2022 | 3.89 Mn |
| Dec 31, 2021 | 16.62 Mn |
| Sep 30, 2021 | -18.66 Mn |
JFrog Free Cash Flow 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=free-cash-flow&ticker=FROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();