Willis Towers Watson (WTW) Return on Capital Employed [ROCE] (2010 - 2026)
Willis Towers Watson (WTW) reported Return on Capital Employed [ROCE] of 15.12% for Q2 2026, up 8.63 percentage points from 6.49% a year earlier and up 1.09 percentage points from the prior quarter.
Willis Towers Watson (WTW) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Willis Towers Watson posted Return on Capital Employed [ROCE] of 15.30%, up 11.33 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +10.43 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 3.97% in FY2024 (-3.70 pp), 7.67% in FY2023 (+1.33 pp), 6.34% in FY2022 (-3.66 pp) and 10.00% in FY2021 (+5.13 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of 3.18% in Q3 2024 and a high of 15.43% in Q4 2025.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last four quarters, with an average year-over-year change of +3.27 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2025 (a gain of 11.22 percentage points); the low point was Q2 2023 (a drop of 4.87 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 14.03% (Q1 2026), 15.43% (Q4 2025) and 14.40% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (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 | - | 16.00% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 26.30% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 7.14% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 18.50% |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 15.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.12% |
| Mar 31, 2026 | 14.03% |
| Dec 31, 2025 | 15.43% |
| Sep 30, 2025 | 14.40% |
| Jun 30, 2025 | 6.49% |
| Mar 31, 2025 | 5.38% |
| Dec 31, 2024 | 4.23% |
| Sep 30, 2024 | 3.18% |
| Jun 30, 2024 | 8.29% |
| Mar 31, 2024 | 8.22% |
| Dec 31, 2023 | 8.68% |
| Sep 30, 2023 | 7.66% |
| Jun 30, 2023 | 7.02% |
| Mar 31, 2023 | 7.58% |
| Dec 31, 2022 | 7.10% |
| Sep 30, 2022 | 6.58% |
| Jun 30, 2022 | 11.88% |
| Mar 31, 2022 | 11.43% |
| Dec 31, 2021 | 10.29% |
| Sep 30, 2021 | 10.91% |
Willis Towers Watson Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=WTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();