JFrog (FROG) Operating Leases (2021 - 2026)
JFrog (FROG) posted Operating Leases of $10.17 million for Q2 2026, up 59.9% from $6.36 million a year earlier but down 9.4% from the prior quarter.
Analysis
JFrog (FROG) Operating Leases (2021 - 2026) Analysis & Trends
At the end of FY2025, JFrog's Operating Leases came in at $6.68 million, up 8.0% from FY2024.
- Annual Operating Leases shows a four-year compound annual growth rate of -24.0% (FY2021 to FY2025).
- In prior years, JFrog's Operating Leases was $6.18 million in FY2024 (-55.7%), $13.95 million in FY2023 (-17.1%), $16.83 million in FY2022 (-15.9%) and $20.01 million in FY2021.
- Quarterly Operating Leases has run from a low of $4.09 million in Q3 2025 to a high of $21.12 million in Q3 2021 over five years.
- On a year-over-year basis, Operating Leases has increased in each of the last three quarters, with an average decline of 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2026, with growth of 134.2%; the weakest was Q1 2025, with a decline of 59.1%.
- According to Business Quant data, Operating Leases for the three prior quarters was $11.23 million (Q1 2026), $6.68 million (Q4 2025) and $4.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.17 Mn |
| Mar 31, 2026 | 11.23 Mn |
| Dec 31, 2025 | 6.68 Mn |
| Sep 30, 2025 | 4.09 Mn |
| Jun 30, 2025 | 6.36 Mn |
| Mar 31, 2025 | 4.79 Mn |
| Dec 31, 2024 | 6.18 Mn |
| Sep 30, 2024 | 7.69 Mn |
| Jun 30, 2024 | 9.65 Mn |
| Mar 31, 2024 | 11.71 Mn |
| Dec 31, 2023 | 13.95 Mn |
| Sep 30, 2023 | 15.90 Mn |
| Jun 30, 2023 | 18.24 Mn |
| Mar 31, 2023 | 17.36 Mn |
| Dec 31, 2022 | 16.83 Mn |
| Sep 30, 2022 | 16.00 Mn |
| Jun 30, 2022 | 18.03 Mn |
| Mar 31, 2022 | 17.94 Mn |
| Dec 31, 2021 | 20.01 Mn |
| Sep 30, 2021 | 21.12 Mn |
API Access
JFrog Operating Leases 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=operating-leases&ticker=FROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();