Alphabet (GOOGN) Exchange Rate Effect (2014 - 2026)
Alphabet's Exchange Rate Effect came in at $45 million for Q3 2026, compared with -$200 million a year earlier.
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Analysis
Alphabet (GOOGN) Exchange Rate Effect (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Alphabet reported Exchange Rate Effect of -$145 million; for FY2025, it came in at $208 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 54.0% (FY2020 to FY2025).
- Going back by year, Exchange Rate Effect was -$612 million in FY2024, -$421 million in FY2023, -$506 million in FY2022 and -$287 million in FY2021.
- The Q3 2026 figure represents the highest quarterly Exchange Rate Effect since Q2 2025.
- Business Quant data shows GOOGN's Exchange Rate Effect at -$31 million (Q2 2026), -$123 million (Q1 2026) and -$36 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 45.00 Mn |
| Jun 30, 2026 | -31.00 Mn |
| Mar 31, 2026 | -123.00 Mn |
| Dec 31, 2025 | -36.00 Mn |
| Sep 30, 2025 | -200.00 Mn |
| Jun 30, 2025 | 401.00 Mn |
| Mar 31, 2025 | 43.00 Mn |
| Dec 31, 2024 | -390.00 Mn |
| Sep 30, 2024 | 141.00 Mn |
| Jun 30, 2024 | -238.00 Mn |
| Mar 31, 2024 | -125.00 Mn |
| Dec 31, 2023 | -94.00 Mn |
| Sep 30, 2023 | -351.00 Mn |
| Jun 30, 2023 | -26.00 Mn |
| Mar 31, 2023 | 50.00 Mn |
| Dec 31, 2022 | 137.00 Mn |
| Sep 30, 2022 | -375.00 Mn |
| Jun 30, 2022 | -368.00 Mn |
| Mar 31, 2022 | 100.00 Mn |
| Dec 31, 2021 | -181.00 Mn |
API Access
Alphabet 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=GOOGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GOOGN", "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=GOOGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();