S&P Global (SPGI) Exchange Rate Effect (2009 - 2026)
S&P Global (SPGI) posted Exchange Rate Effect of $3 million for Q3 2026, compared with -$13 million a year earlier.
Powered by 
Analysis
S&P Global (SPGI) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Exchange Rate Effect at S&P Global was -$38 million; for FY2025, it was $62 million.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- In prior years, S&P Global's Exchange Rate Effect was -$61 million in FY2024, $12 million in FY2023, -$123 million in FY2022 and -$82 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Exchange Rate Effect since Q2 2025.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$14 million (Q2 2026), -$26 million (Q1 2026) and -$1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 3.00 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 5.00 Mn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | -100,000.00 |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | -2.00 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | -800,000.00 |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | -6.70 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | -631,000.00 |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 500,000.00 |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | -11.00 Mn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.00 Mn |
| Jun 30, 2026 | -14.00 Mn |
| Mar 31, 2026 | -26.00 Mn |
| Sep 30, 2025 | -14.00 Mn |
| Jun 30, 2025 | 44.00 Mn |
| Mar 31, 2025 | 32.00 Mn |
| Dec 31, 2024 | -60.00 Mn |
| Sep 30, 2024 | 31.00 Mn |
| Jun 30, 2024 | -14.00 Mn |
| Mar 31, 2024 | -18.00 Mn |
| Dec 31, 2023 | 34.00 Mn |
| Sep 30, 2023 | -25.00 Mn |
| Jun 30, 2023 | -4.00 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Dec 31, 2022 | 44.00 Mn |
| Sep 30, 2022 | -82.00 Mn |
| Jun 30, 2022 | -69.00 Mn |
| Mar 31, 2022 | -16.00 Mn |
| Dec 31, 2021 | -23.00 Mn |
| Sep 30, 2021 | -26.00 Mn |
API Access
S&P Global 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=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SPGI", "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=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();