JFrog (FROG) Research & Development (2019 - 2026)
JFrog (FROG) recorded Research & Development of $54.03 million in Q2 2026, up 13.9% from $47.42 million a year earlier and up 4.3% from the prior quarter.
Powered by 
Analysis
JFrog (FROG) Research & Development (2019 - 2026) Analysis & Trends
On a TTM basis, JFrog's Research & Development came in at $210.17 million as of Jun 30, 2026, up 17.6% year-over-year; for FY2025, it came in at $195.09 million, up 21.3% from FY2024.
- Annual Research & Development has increased for seven straight years, with a five-year compound annual growth rate of 36.5% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $160.86 million in FY2024 (+19.5%), $134.58 million in FY2023 (+11.0%), $121.23 million in FY2022 (+52.3%) and $79.6 million in FY2021 (+93.6%).
- The Q2 2026 figure is the highest quarterly Research & Development in data going back to Q3 2019.
- On a year-over-year basis, Research & Development has increased for ten consecutive quarters, with growth averaging 23.2% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 122.9% in Q3 2021, against a decline of 2.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.81 million (Q1 2026), $53.16 million (Q4 2025) and $51.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn | 54.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.03 Mn |
| Mar 31, 2026 | 51.81 Mn |
| Dec 31, 2025 | 53.16 Mn |
| Sep 30, 2025 | 51.17 Mn |
| Jun 30, 2025 | 47.42 Mn |
| Mar 31, 2025 | 43.34 Mn |
| Dec 31, 2024 | 44.92 Mn |
| Sep 30, 2024 | 43.00 Mn |
| Jun 30, 2024 | 37.12 Mn |
| Mar 31, 2024 | 35.83 Mn |
| Dec 31, 2023 | 32.80 Mn |
| Sep 30, 2023 | 33.36 Mn |
| Jun 30, 2023 | 33.54 Mn |
| Mar 31, 2023 | 34.89 Mn |
| Dec 31, 2022 | 33.48 Mn |
| Sep 30, 2022 | 31.70 Mn |
| Jun 30, 2022 | 28.95 Mn |
| Mar 31, 2022 | 27.10 Mn |
| Dec 31, 2021 | 25.94 Mn |
| Sep 30, 2021 | 23.14 Mn |
API Access
JFrog Research & Development 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=research-and-development&ticker=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();