JFrog (FROG) Exchange Rate Effect (2022 - 2026)
JFrog (FROG) recorded Exchange Rate Effect of -$314,000 in Q2 2026, compared with $798,000 a year earlier.
Powered by 
Analysis
JFrog (FROG) Exchange Rate Effect (2022 - 2026) Analysis & Trends
On a TTM basis, JFrog's Exchange Rate Effect came in at $174,000 as of Jun 30, 2026, down 72.5% year-over-year; for FY2025, it was $1.25 million.
- Across earlier years, Exchange Rate Effect came in at -$949,000 in FY2024, $120,000 in FY2023 and -$2.05 million in FY2022.
- The Q2 2026 figure is the lowest quarterly Exchange Rate Effect since Q1 2024.
- Per Business Quant, the preceding three quarters came in at -$1,000 (Q1 2026), $232,000 (Q4 2025) and $257,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | -5.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -1.73 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | - |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -1.86 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 782,000.00 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | -2.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | -3.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -31.00 Mn |
| 10 | JFrog | 10.93 Bn | 8.01 Bn | 127.62 Mn | -314,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -314,000.00 |
| Mar 31, 2026 | -1,000.00 |
| Dec 31, 2025 | 232,000.00 |
| Sep 30, 2025 | 257,000.00 |
| Jun 30, 2025 | 798,000.00 |
| Mar 31, 2025 | -34,000.00 |
| Dec 31, 2024 | -249,000.00 |
| Sep 30, 2024 | 117,000.00 |
| Jun 30, 2024 | -294,000.00 |
| Mar 31, 2024 | -523,000.00 |
| Dec 31, 2023 | 232,000.00 |
| Sep 30, 2023 | -121,000.00 |
| Jun 30, 2023 | -75,000.00 |
| Mar 31, 2023 | 84,000.00 |
| Dec 31, 2022 | 246,000.00 |
| Sep 30, 2022 | -2.29 Mn |
API Access
JFrog Exchange Rate Effect 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=exchange-rate-effect&ticker=FROG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=FROG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();