JFrog (FROG) Receivables (2019 - 2026)
JFrog's Receivables came in at $135.97 million for Q2 2026, up 63.8% from $83.02 million a year earlier and up 19.6% from the prior quarter.
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Analysis
JFrog (FROG) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, JFrog's Receivables was $119.95 million, up 32.2% from FY2024.
- Receivables has increased in each of the last six years, with a five-year compound annual growth rate of 26.5% (FY2020 to FY2025).
- Going back by year, Receivables was $90.71 million in FY2024 (+18.7%), $76.44 million in FY2023 (+23.1%), $62.12 million in FY2022 (+23.0%) and $50.48 million in FY2021 (+36.3%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2019.
- Year-over-year, Receivables has increased for 17 consecutive quarters, with growth averaging 30.3% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q3 2021 (growth of 71.7%), and the weakest in Q1 2022 (a decline of 4.0%).
- Business Quant data shows FROG's Receivables at $113.71 million (Q1 2026), $119.95 million (Q4 2025) and $104.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn | 135.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.97 Mn |
| Mar 31, 2026 | 113.71 Mn |
| Dec 31, 2025 | 119.95 Mn |
| Sep 30, 2025 | 104.40 Mn |
| Jun 30, 2025 | 83.02 Mn |
| Mar 31, 2025 | 84.30 Mn |
| Dec 31, 2024 | 90.71 Mn |
| Sep 30, 2024 | 92.89 Mn |
| Jun 30, 2024 | 82.04 Mn |
| Mar 31, 2024 | 66.57 Mn |
| Dec 31, 2023 | 76.44 Mn |
| Sep 30, 2023 | 60.92 Mn |
| Jun 30, 2023 | 62.50 Mn |
| Mar 31, 2023 | 63.18 Mn |
| Dec 31, 2022 | 62.12 Mn |
| Sep 30, 2022 | 49.04 Mn |
| Jun 30, 2022 | 53.00 Mn |
| Mar 31, 2022 | 49.39 Mn |
| Dec 31, 2021 | 50.48 Mn |
| Sep 30, 2021 | 43.85 Mn |
API Access
JFrog Receivables 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=receivables&ticker=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();