Willis Towers Watson (WTW) Price to Earnings (2010 - 2026)
Willis Towers Watson's Price to Earnings came in at 15.51 for Q2 2026, down 92.9% from 218.24 a year earlier and down 5.8% from the prior quarter.
Analysis
Willis Towers Watson (WTW) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Willis Towers Watson's Price to Earnings was 19.36.
- Going back by year, Price to Earnings was 23.43 in FY2023 (-9.3%), 25.83 in FY2022 (+290.1%) and 6.62 in FY2021 (-75.7%).
- The Q2 2026 figure represents the lowest quarterly Price to Earnings since Q3 2022.
- The fastest year-over-year change in Price to Earnings over five years came in Q2 2025 (growth of 792.7%), and the weakest in Q2 2026 (a decline of 92.9%).
- Business Quant data shows WTW's Price to Earnings at 16.47 (Q1 2026), 19.36 (Q4 2025) and 15.63 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.51 |
| Mar 31, 2026 | 16.47 |
| Dec 31, 2025 | 19.36 |
| Sep 30, 2025 | 15.63 |
| Jun 30, 2025 | 218.24 |
| Jun 30, 2024 | 24.45 |
| Mar 31, 2024 | 26.98 |
| Dec 31, 2023 | 23.43 |
| Sep 30, 2023 | 21.13 |
| Jun 30, 2023 | 22.96 |
| Mar 31, 2023 | 22.69 |
| Dec 31, 2022 | 25.83 |
| Sep 30, 2022 | 7.70 |
| Jun 30, 2022 | 6.14 |
| Mar 31, 2022 | 7.29 |
| Dec 31, 2021 | 6.62 |
| Sep 30, 2021 | 12.62 |
| Jun 30, 2021 | 19.61 |
| Mar 31, 2021 | 20.73 |
| Dec 31, 2020 | 27.28 |
API Access
Willis Towers Watson Price to Earnings 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=price-to-earnings&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();