Marsh & Mclennan Companies (MRSH) Exchange Rate Effect (2009 - 2026)
Marsh & Mclennan Companies' Exchange Rate Effect came in at -$14 million for Q2 2026, compared with $510 million a year earlier.
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Analysis
Marsh & Mclennan Companies (MRSH) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Marsh & Mclennan Companies reported Exchange Rate Effect of -$221 million; for FY2025, it was $673 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Going back by year, Exchange Rate Effect was -$414 million in FY2024, $328 million in FY2023, -$841 million in FY2022 and -$355 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$837 million (Q3 2022) to $751 million (Q4 2022).
- Business Quant data shows MRSH's Exchange Rate Effect at -$127 million (Q1 2026), $58 million (Q4 2025) and -$138 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 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | -14.00 Mn |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | -2.00 Mn |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | 253.02 Mn |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | 41.00 Mn |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | -57.00 Mn |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | 5.00 Mn |
| 10 | Aon | 58.62 Bn | 51.84 Bn | - | -50.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -14.00 Mn |
| Mar 31, 2026 | -127.00 Mn |
| Dec 31, 2025 | 58.00 Mn |
| Sep 30, 2025 | -138.00 Mn |
| Jun 30, 2025 | 510.00 Mn |
| Mar 31, 2025 | 243.00 Mn |
| Dec 31, 2024 | -633.00 Mn |
| Sep 30, 2024 | 488.00 Mn |
| Jun 30, 2024 | -41.00 Mn |
| Mar 31, 2024 | -228.00 Mn |
| Dec 31, 2023 | 448.00 Mn |
| Sep 30, 2023 | -362.00 Mn |
| Jun 30, 2023 | 90.00 Mn |
| Mar 31, 2023 | 152.00 Mn |
| Dec 31, 2022 | 751.00 Mn |
| Sep 30, 2022 | -837.00 Mn |
| Jun 30, 2022 | -619.00 Mn |
| Mar 31, 2022 | -136.00 Mn |
| Dec 31, 2021 | -112.00 Mn |
| Sep 30, 2021 | -281.00 Mn |
API Access
Marsh & Mclennan Companies 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=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MRSH", "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=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();