Goldman Sachs (GS) Exchange Rate Effect (2022 - 2026)
Goldman Sachs (GS) posted Exchange Rate Effect of -$713 million for Q2 2026, compared with $4.48 billion a year earlier.
Goldman Sachs (GS) Exchange Rate Effect (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at Goldman Sachs was -$3.06 billion; for FY2025, it was $5.45 billion.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In prior years, Goldman Sachs' Exchange Rate Effect was -$3.97 billion in FY2024, $1.85 billion in FY2023, -$11.56 billion in FY2022 and -$5.38 billion in FY2021.
- Quarterly Exchange Rate Effect has run from a low of -$7.83 billion in Q3 2022 to a high of $6.6 billion in Q4 2022 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$848 million (Q1 2026), -$764 million (Q4 2025) and -$738 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | -2.24 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | -289.00 Mn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | -503.00 Mn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 723.66 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | -713.00 Mn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | American Express | 204.37 Bn | -3.81 Bn | - | -6.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -713.00 Mn |
| Mar 31, 2026 | -848.00 Mn |
| Dec 31, 2025 | -764.00 Mn |
| Sep 30, 2025 | -738.00 Mn |
| Jun 30, 2025 | 4.48 Bn |
| Mar 31, 2025 | 2.47 Bn |
| Dec 31, 2024 | -4.43 Bn |
| Sep 30, 2024 | 5.37 Bn |
| Jun 30, 2024 | -1.57 Bn |
| Mar 31, 2024 | -3.35 Bn |
| Dec 31, 2023 | 5.38 Bn |
| Sep 30, 2023 | -3.93 Bn |
| Jun 30, 2023 | -224.00 Mn |
| Mar 31, 2023 | 620.00 Mn |
| Dec 31, 2022 | 6.60 Bn |
| Sep 30, 2022 | -7.83 Bn |
| Jun 30, 2022 | -6.92 Bn |
| Mar 31, 2022 | -3.42 Bn |
Goldman Sachs 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=GS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GS", "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=GS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();