Willis Towers Watson (WTW) Return on Sales [ROS] (2009 - 2026)
Willis Towers Watson (WTW) reported Return on Sales [ROS] of 14.76% for Q2 2026, down 1.52 percentage points from 16.28% a year earlier and down 3.81 percentage points from the prior quarter.
Willis Towers Watson (WTW) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Willis Towers Watson's Return on Sales [ROS] came in at 22.23%, up 12.70 percentage points year-over-year; for FY2025, it came in at 23.01%, up 16.70 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +13.04 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 6.31% in FY2024 (-8.08 pp), 14.39% in FY2023 (+1.11 pp), 13.29% in FY2022 (-11.19 pp) and 24.47% in FY2021 (+14.50 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +3.85 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2021 (a gain of 53.84 percentage points); the low point was Q3 2022 (a drop of 49.44 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 18.57% (Q1 2026), 34.60% (Q4 2025) and 18.27% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | 11.89% |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 14.54% |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 21.55% |
| 10 | Willis Towers Watson | 26.80 Bn | 18.29 Bn | - | 14.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.76% |
| Mar 31, 2026 | 18.57% |
| Dec 31, 2025 | 34.60% |
| Sep 30, 2025 | 18.27% |
| Jun 30, 2025 | 16.28% |
| Mar 31, 2025 | 19.43% |
| Dec 31, 2024 | 29.69% |
| Sep 30, 2024 | -33.46% |
| Jun 30, 2024 | 9.36% |
| Mar 31, 2024 | 11.96% |
| Dec 31, 2023 | 26.73% |
| Sep 30, 2023 | 7.34% |
| Jun 30, 2023 | 6.58% |
| Mar 31, 2023 | 12.70% |
| Dec 31, 2022 | 26.01% |
| Sep 30, 2022 | 7.89% |
| Jun 30, 2022 | 6.75% |
| Mar 31, 2022 | 8.29% |
| Dec 31, 2021 | 25.50% |
| Sep 30, 2021 | 57.32% |
Willis Towers Watson Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=WTW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=WTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();