JFrog (FROG) Selling, General & Administrative (2019 - 2026)
JFrog's Selling, General & Administrative was $25.7 million in Q2 2026, up 27.6% from $20.13 million a year earlier and up 8.2% from the prior quarter.
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Analysis
JFrog (FROG) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, JFrog's Selling, General & Administrative was $91.48 million through Jun 30, 2026, up 22.0% year-over-year; for FY2025, it was $81.22 million, up 16.0% from FY2024.
- Selling, General & Administrative has now increased for three consecutive years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $70.02 million in FY2024 (+10.9%), $63.13 million in FY2023 (+13.6%), $55.56 million in FY2022 (-2.0%) and $56.66 million in FY2021 (+64.2%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q3 2019.
- Compared with a year earlier, Selling, General & Administrative has increased for six straight quarters, with growth averaging 15.9% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 33.0%); the worst was Q1 2022 (a decline of 7.2%).
- Per Business Quant data, FROG's Selling, General & Administrative in the three quarters before Q2 2026 was $23.74 million (Q1 2026), $21.58 million (Q4 2025) and $20.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 226.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 175.95 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 61.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 120.59 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 86.40 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 98.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 290.98 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 677.00 Mn |
| 10 | JFrog | 11.94 Bn | 9.02 Bn | 127.62 Mn | 25.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.70 Mn |
| Mar 31, 2026 | 23.74 Mn |
| Dec 31, 2025 | 21.58 Mn |
| Sep 30, 2025 | 20.46 Mn |
| Jun 30, 2025 | 20.13 Mn |
| Mar 31, 2025 | 19.05 Mn |
| Dec 31, 2024 | 18.08 Mn |
| Sep 30, 2024 | 17.73 Mn |
| Jun 30, 2024 | 17.26 Mn |
| Mar 31, 2024 | 16.94 Mn |
| Dec 31, 2023 | 18.50 Mn |
| Sep 30, 2023 | 15.66 Mn |
| Jun 30, 2023 | 14.73 Mn |
| Mar 31, 2023 | 14.24 Mn |
| Dec 31, 2022 | 14.15 Mn |
| Sep 30, 2022 | 14.68 Mn |
| Jun 30, 2022 | 14.04 Mn |
| Mar 31, 2022 | 12.69 Mn |
| Dec 31, 2021 | 12.19 Mn |
| Sep 30, 2021 | 15.70 Mn |
API Access
JFrog Selling, General & Administrative 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=selling-general-and-administrative&ticker=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();