S&P Global (SPGI) Exchange Rate Effect (2009 - 2026)
S&P Global (SPGI) posted Exchange Rate Effect of -$14 million for Q2 2026, compared with $44 million a year earlier.
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Analysis
S&P Global (SPGI) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at S&P Global was -$54 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.
- Quarterly Exchange Rate Effect has run from a low of -$82 million in Q3 2022 to a high of $44 million in Q2 2025 over five years.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$26 million (Q1 2026), -$1 million (Q4 2025) and -$13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | -14.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 17.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 1.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | -2.00 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | -900,000.00 |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.20 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | -2.98 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | -2.40 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | -10.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.00 Mn |
| Mar 31, 2026 | -26.00 Mn |
| Dec 31, 2025 | -1.00 Mn |
| Sep 30, 2025 | -13.00 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();