Willis Towers Watson (WTW) EPS (Diluted) (2009 - 2026)
Willis Towers Watson (WTW) reported EPS (Diluted) of $2.44 for Q2 2026, down 26.4% from $3.31 a year earlier and down 21.3% from the prior quarter.
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Analysis
Willis Towers Watson (WTW) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Willis Towers Watson's EPS (Diluted) came in at $16.65; for FY2025, it was $16.21.
- EPS (Diluted) has a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at -$0.96 in FY2024, $9.95 in FY2023 (+10.5%), $9.01 in FY2022 (-72.5%) and $32.73 in FY2021 (+327.2%).
- The Q2 2026 figure ranks as the lowest quarterly EPS (Diluted) since Q1 2025.
- Year over year, EPS (Diluted) gained in four of the last six quarters, with growth averaging 40.8%.
- The high point for year-over-year EPS (Diluted) in five years was Q3 2021 (growth of 652.1%); the low point was Q1 2022 (a decline of 81.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.09 (Q1 2026), $7.42 (Q4 2025) and $3.10 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn | - |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn | 7.29 |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn | 5.67 |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - | 2.63 |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn | 10.34 |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - | 0.89 |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn | 1.09 |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - | 2.58 |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - | 1.25 |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 2.44 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.44 |
| Mar 31, 2026 | 3.09 |
| Dec 31, 2025 | 7.42 |
| Sep 30, 2025 | 3.10 |
| Jun 30, 2025 | 3.31 |
| Mar 31, 2025 | 2.33 |
| Dec 31, 2024 | 12.22 |
| Sep 30, 2024 | -16.42 |
| Jun 30, 2024 | 1.37 |
| Mar 31, 2024 | 1.83 |
| Dec 31, 2023 | 5.87 |
| Sep 30, 2023 | 1.30 |
| Jun 30, 2023 | 0.88 |
| Mar 31, 2023 | 1.88 |
| Dec 31, 2022 | 5.25 |
| Sep 30, 2022 | 1.71 |
| Jun 30, 2022 | 0.97 |
| Mar 31, 2022 | 1.03 |
| Dec 31, 2021 | 18.62 |
| Sep 30, 2021 | 7.00 |
API Access
Willis Towers Watson EPS (Diluted) 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=eps-diluted&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();