Moodys (MCO) Exchange Rate Effect (2009 - 2026)
Moodys' Exchange Rate Effect came in at $17 million for Q2 2026, down 83.0% from $100 million a year earlier.
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Analysis
Moodys (MCO) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Moodys reported Exchange Rate Effect of -$39 million; for FY2025, it came in at $136 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 23.7% (FY2020 to FY2025).
- Going back by year, Exchange Rate Effect was -$58 million in FY2024, $41 million in FY2023, -$46 million in FY2022 and -$50 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$93 million (Q4 2024) to $100 million (Q2 2025).
- Business Quant data shows MCO's Exchange Rate Effect at -$44 million (Q1 2026), -$4 million (Q4 2025) and -$8 million (Q3 2025) in the three quarters before Q2 2026.
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 | 17.00 Mn |
| Mar 31, 2026 | -44.00 Mn |
| Dec 31, 2025 | -4.00 Mn |
| Sep 30, 2025 | -8.00 Mn |
| Jun 30, 2025 | 100.00 Mn |
| Mar 31, 2025 | 48.00 Mn |
| Dec 31, 2024 | -93.00 Mn |
| Sep 30, 2024 | 69.00 Mn |
| Jun 30, 2024 | -9.00 Mn |
| Mar 31, 2024 | -25.00 Mn |
| Dec 31, 2023 | 54.00 Mn |
| Sep 30, 2023 | -37.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 77.00 Mn |
| Sep 30, 2022 | -52.00 Mn |
| Jun 30, 2022 | -53.00 Mn |
| Mar 31, 2022 | -18.00 Mn |
| Dec 31, 2021 | -12.00 Mn |
| Sep 30, 2021 | -23.00 Mn |
API Access
Moodys 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=MCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MCO", "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=MCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();