JFrog (FROG) Net Margin (2019 - 2026)
JFrog's Net Margin came in at -2.54% for Q2 2026, up 14.49 percentage points from -17.04% a year earlier and up 2.83 percentage points from the prior quarter.
JFrog (FROG) Net Margin (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, JFrog reported Net Margin of -7.35%, up 10.84 percentage points year-over-year; for FY2025, it was -13.50%, up 2.65 percentage points from FY2024.
- Net Margin has increased in each of the last three years, though with a five-year change of -7.27 percentage points (FY2020 to FY2025).
- Going back by year, Net Margin was -16.16% in FY2024 (+1.35 pp), -17.51% in FY2023 (+14.70 pp), -32.20% in FY2022 (-1.14 pp) and -31.06% in FY2021 (-24.83 pp).
- The Q2 2026 figure represents the highest quarterly Net Margin since Q4 2019.
- Year-over-year, Net Margin has increased for four consecutive quarters, with an average year-over-year change of +2.42 percentage points over the last eight quarters.
- The fastest year-over-year change in Net Margin over five years came in Q4 2023 (a gain of 18.70 percentage points), and the weakest in Q4 2021 (a drop of 29.61 percentage points).
- Business Quant data shows FROG's Net Margin at -5.37% (Q1 2026), -10.47% (Q4 2025) and -12.00% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | -8.27% |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 0.36% |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 29.61% |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | -12.39% |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 3.97% |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 14.41% |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 3.25% |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | 7.38% |
| 10 | JFrog | 11.12 Bn | 8.20 Bn | 127.62 Mn | -2.54% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.54% |
| Mar 31, 2026 | -5.37% |
| Dec 31, 2025 | -10.47% |
| Sep 30, 2025 | -12.00% |
| Jun 30, 2025 | -17.04% |
| Mar 31, 2025 | -15.12% |
| Dec 31, 2024 | -19.98% |
| Sep 30, 2024 | -21.04% |
| Jun 30, 2024 | -13.88% |
| Mar 31, 2024 | -8.76% |
| Dec 31, 2023 | -11.55% |
| Sep 30, 2023 | -15.51% |
| Jun 30, 2023 | -18.38% |
| Mar 31, 2023 | -26.07% |
| Dec 31, 2022 | -30.25% |
| Sep 30, 2022 | -32.72% |
| Jun 30, 2022 | -35.06% |
| Mar 31, 2022 | -30.93% |
| Dec 31, 2021 | -38.31% |
| Sep 30, 2021 | -38.11% |
JFrog Net Margin 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=net-margin&ticker=FROG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();