Marsh & Mclennan Companies (MRSH) Return on Sales [ROS] (2009 - 2026)
Marsh & Mclennan Companies (MRSH) recorded Return on Sales [ROS] of 17.70% in Q3 2026, down 0.72 percentage points from 18.42% a year earlier and down 7.94 percentage points from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Marsh & Mclennan Companies' Return on Sales [ROS] came in at 21.39% as of Sep 30, 2026, down 1.84 percentage points year-over-year; for FY2025, it was 23.06%, down 0.72 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +5.26 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 23.78% in FY2024 (+0.55 pp), 23.23% in FY2023 (+2.58 pp), 20.66% in FY2022 (-1.10 pp) and 21.76% in FY2021 (+3.96 pp).
- The Q3 2026 figure is the lowest quarterly Return on Sales [ROS] since Q4 2022.
- On a year-over-year basis, Return on Sales [ROS] has declined for eight consecutive quarters, with an average year-over-year change of -1.31 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 6.32 percentage points in Q4 2023, against a drop of 5.65 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 25.65% (Q2 2026), 23.09% (Q1 2026) and 18.48% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 137.67 Bn | 84.25 Bn | 9.13 Bn | -19.39% |
| 2 | Progressive | 133.00 Bn | 108.83 Bn | 9.04 Bn | -43.89% |
| 3 | Marsh & Mclennan Companies | 94.06 Bn | 86.22 Bn | - | 17.70% |
| 4 | Travelers Companies | 83.93 Bn | 60.18 Bn | 6.23 Bn | -25.96% |
| 5 | Manulife Financial | 75.37 Bn | -19.52 Bn | - | 11.89% |
| 6 | Arthur J. Gallagher | 68.91 Bn | 63.31 Bn | - | 14.54% |
| 7 | Allstate | 64.79 Bn | 26.06 Bn | 8.73 Bn | -30.76% |
| 8 | Aon | 64.57 Bn | 57.79 Bn | - | 21.55% |
| 9 | Metlife | 63.57 Bn | -43.21 Bn | 7.82 Bn | -53.77% |
| 10 | Aflac | 60.75 Bn | 35.96 Bn | 2.27 Bn | -20.82% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.70% |
| Jun 30, 2026 | 25.65% |
| Mar 31, 2026 | 23.09% |
| Dec 31, 2025 | 18.48% |
| Sep 30, 2025 | 18.42% |
| Jun 30, 2025 | 26.23% |
| Mar 31, 2025 | 28.40% |
| Dec 31, 2024 | 18.82% |
| Sep 30, 2024 | 19.45% |
| Jun 30, 2024 | 26.39% |
| Mar 31, 2024 | 29.74% |
| Dec 31, 2023 | 19.86% |
| Sep 30, 2023 | 18.51% |
| Jun 30, 2023 | 24.80% |
| Mar 31, 2023 | 29.14% |
| Dec 31, 2022 | 13.54% |
| Sep 30, 2022 | 16.58% |
| Jun 30, 2022 | 25.36% |
| Mar 31, 2022 | 26.04% |
| Dec 31, 2021 | 19.19% |
API Access
Marsh & Mclennan Companies 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=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MRSH", "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=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();