Gorilla Technology (GRRR) Exchange Rate Effect (2024 - 2026)
Gorilla Technology's Exchange Rate Effect was $2.04 million in Q2 2026, up 689.7% from $257,888 a year earlier.
Gorilla Technology (GRRR) Exchange Rate Effect (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gorilla Technology's Exchange Rate Effect was -$2.27 million through Jun 30, 2026; for FY2025, it came in at -$158,414.
- In earlier years, Exchange Rate Effect was $1.43 million in FY2024 (+104.1%), $700,453 in FY2023 (+386.7%), $143,905 in FY2022 (+58.0%) and $91,105 in FY2021 (-72.0%).
- The Q2 2026 figure marks the highest quarterly Exchange Rate Effect in data going back to Q1 2024.
- Per Business Quant data, GRRR's Exchange Rate Effect in the three quarters before Q2 2026 was -$3.7 million (Q1 2026), $366,342 (Q4 2025) and -$972,956 (Q3 2025).
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 | Gorilla Technology | 359.05 Mn | -128.40 Mn | -2.11 Mn | 2.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.04 Mn |
| Mar 31, 2026 | -3.70 Mn |
| Dec 31, 2025 | 366,342.00 |
| Sep 30, 2025 | -972,956.00 |
| Jun 30, 2025 | 257,888.00 |
| Mar 31, 2025 | 190,312.00 |
| Dec 31, 2024 | 1.12 Mn |
| Sep 30, 2024 | 183,568.00 |
| Jun 30, 2024 | 1.63 Mn |
| Mar 31, 2024 | -1.51 Mn |
Gorilla Technology 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=GRRR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GRRR", "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=GRRR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();