Willis Towers Watson (WTW) Exchange Rate Effect (2009 - 2026)
Willis Towers Watson (WTW) recorded Exchange Rate Effect of -$5 million in Q2 2026, compared with $127 million a year earlier.
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Analysis
Willis Towers Watson (WTW) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a TTM basis, Willis Towers Watson's Exchange Rate Effect came in at -$38 million as of Jun 30, 2026; for FY2025, it was $203 million.
- Annual Exchange Rate Effect has a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Across earlier years, Exchange Rate Effect came in at -$97 million in FY2024, $11 million in FY2023, -$164 million in FY2022 and -$127 million in FY2021.
- Quarterly Exchange Rate Effect has ranged from -$136 million in Q2 2022 to $127 million in Q2 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$29 million (Q1 2026), $1 million (Q4 2025) and -$5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | -46.00 Mn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | - |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | -14.00 Mn |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | -2.00 Mn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 253.02 Mn |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 41.00 Mn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | -50.00 Mn |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | -57.00 Mn |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | -5.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.00 Mn |
| Mar 31, 2026 | -29.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | -5.00 Mn |
| Jun 30, 2025 | 127.00 Mn |
| Mar 31, 2025 | 80.00 Mn |
| Dec 31, 2024 | -129.00 Mn |
| Sep 30, 2024 | 85.00 Mn |
| Jun 30, 2024 | -6.00 Mn |
| Mar 31, 2024 | -47.00 Mn |
| Dec 31, 2023 | 65.00 Mn |
| Sep 30, 2023 | -55.00 Mn |
| Jun 30, 2023 | -20.00 Mn |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 126.00 Mn |
| Sep 30, 2022 | -120.00 Mn |
| Jun 30, 2022 | -136.00 Mn |
| Mar 31, 2022 | -34.00 Mn |
| Dec 31, 2021 | -28.00 Mn |
| Sep 30, 2021 | -49.00 Mn |
API Access
Willis Towers Watson 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=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "WTW", "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=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();