Chubb (CB) Return on Sales [ROS] (2009 - 2026)
Chubb's Return on Sales [ROS] came in at 22.27% for Q3 2026, down 3.07 percentage points from 25.33% a year earlier and down 1.91 percentage points from the prior quarter.
Chubb (CB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Chubb reported Return on Sales [ROS] of 23.60%, up 1.14 percentage points year-over-year; for FY2025, it was 23.25%, up 1.37 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +10.25 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 21.88% in FY2024 (+1.37 pp), 20.50% in FY2023 (+4.13 pp), 16.37% in FY2022 (-8.80 pp) and 25.17% in FY2021 (+12.17 pp).
- The five-year range for quarterly Return on Sales [ROS] is 9.94% (Q3 2022) to 26.39% (Q4 2025).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +1.10 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 9.02 percentage points), and the weakest in Q2 2022 (a drop of 10.41 percentage points).
- Business Quant data shows CB's Return on Sales [ROS] at 24.18% (Q2 2026), 21.60% (Q1 2026) and 26.39% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.76 Bn | 86.40 Bn | 8.67 Bn | 22.27% |
| 2 | Progressive | 132.42 Bn | 107.94 Bn | 8.29 Bn | 14.33% |
| 3 | Marsh & Mclennan Companies | 97.25 Bn | 89.41 Bn | - | 17.70% |
| 4 | Travelers Companies | 81.75 Bn | 59.24 Bn | 5.93 Bn | 20.04% |
| 5 | Manulife Financial | 73.54 Bn | -21.96 Bn | - | 7.83% |
| 6 | Arthur J. Gallagher | 72.19 Bn | 66.78 Bn | - | 17.18% |
| 7 | Aon | 71.05 Bn | 50.25 Bn | - | 19.73% |
| 8 | Allstate | 64.22 Bn | 24.06 Bn | 7.41 Bn | 15.64% |
| 9 | Metlife | 63.14 Bn | -43.64 Bn | 7.82 Bn | 21.42% |
| 10 | Aflac | 61.62 Bn | 37.98 Bn | 1.87 Bn | -27.42% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.27% |
| Jun 30, 2026 | 24.18% |
| Mar 31, 2026 | 21.60% |
| Dec 31, 2025 | 26.39% |
| Sep 30, 2025 | 25.33% |
| Jun 30, 2025 | 26.27% |
| Mar 31, 2025 | 13.82% |
| Dec 31, 2024 | 23.34% |
| Sep 30, 2024 | 21.46% |
| Jun 30, 2024 | 20.87% |
| Mar 31, 2024 | 21.82% |
| Dec 31, 2023 | 21.44% |
| Sep 30, 2023 | 18.96% |
| Jun 30, 2023 | 19.86% |
| Mar 31, 2023 | 22.03% |
| Dec 31, 2022 | 15.70% |
| Sep 30, 2022 | 9.94% |
| Jun 30, 2022 | 16.31% |
| Mar 31, 2022 | 25.31% |
| Dec 31, 2021 | 24.29% |
Chubb 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=CB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CB", "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=CB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();