JFrog (FROG) Cash & Equivalents (2019 - 2026)
JFrog's Cash & Equivalents came in at $96.69 million for Q2 2026, up 88.6% from $51.28 million a year earlier and up 58.6% from the prior quarter.
Powered by 
Analysis
JFrog (FROG) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, JFrog's Cash & Equivalents was $75.84 million, up 52.1% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $49.87 million in FY2024 (-41.2%), $84.77 million in FY2023 (+85.9%), $45.6 million in FY2022 (-33.2%) and $68.28 million in FY2021 (-58.5%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q2 2024.
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2024 (growth of 367.5%), and the weakest in Q2 2022 (a decline of 78.7%).
- Business Quant data shows FROG's Cash & Equivalents at $60.97 million (Q1 2026), $75.84 million (Q4 2025) and $78.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 3.61 Bn |
| 10 | JFrog | 11.94 Bn | 9.02 Bn | 127.62 Mn | 96.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.69 Mn |
| Mar 31, 2026 | 60.97 Mn |
| Dec 31, 2025 | 75.84 Mn |
| Sep 30, 2025 | 78.36 Mn |
| Jun 30, 2025 | 51.28 Mn |
| Mar 31, 2025 | 44.35 Mn |
| Dec 31, 2024 | 49.87 Mn |
| Sep 30, 2024 | 62.25 Mn |
| Jun 30, 2024 | 218.30 Mn |
| Mar 31, 2024 | 71.39 Mn |
| Dec 31, 2023 | 84.77 Mn |
| Sep 30, 2023 | 60.98 Mn |
| Jun 30, 2023 | 46.69 Mn |
| Mar 31, 2023 | 40.35 Mn |
| Dec 31, 2022 | 45.60 Mn |
| Sep 30, 2022 | 53.97 Mn |
| Jun 30, 2022 | 55.19 Mn |
| Mar 31, 2022 | 59.58 Mn |
| Dec 31, 2021 | 68.28 Mn |
| Sep 30, 2021 | 84.61 Mn |
API Access
JFrog Cash & Equivalents 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=cash-and-equivalents&ticker=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();