Mercury General (MCY) Return on Sales [ROS] (2009 - 2026)
Mercury General (MCY) posted Return on Sales [ROS] of -38.41% for Q2 2026, up 11.21 percentage points from -49.62% a year earlier and up 6.88 percentage points from the prior quarter.
Mercury General (MCY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Mercury General was -25.54%, up 19.48 percentage points year-over-year; for FY2025, it came in at 11.55%, up 0.49 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +62.73 percentage points (FY2020 to FY2025).
- In prior years, Mercury General's Return on Sales [ROS] was 11.06% in FY2024 (+84.90 pp), -73.84% in FY2023 (+20.37 pp), -94.21% in FY2022 (-32.58 pp) and -61.62% in FY2021 (-10.45 pp).
- Quarterly Return on Sales [ROS] has run from a low of -108.36% in Q4 2022 to a high of 16.67% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last five quarters, with an average year-over-year change of +18.72 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 62.62 percentage points; the weakest was Q1 2022, with a drop of 45.62 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -45.28% (Q1 2026), 16.67% (Q4 2025) and -33.59% (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 | Mercury General | 5.67 Bn | -16.20 Bn | 708.49 Mn | -38.41% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.41% |
| Mar 31, 2026 | -45.28% |
| Dec 31, 2025 | 16.67% |
| Sep 30, 2025 | -33.59% |
| Jun 30, 2025 | -49.62% |
| Mar 31, 2025 | -97.79% |
| Dec 31, 2024 | 9.59% |
| Sep 30, 2024 | -41.26% |
| Jun 30, 2024 | -66.02% |
| Mar 31, 2024 | -63.95% |
| Dec 31, 2023 | -45.75% |
| Sep 30, 2023 | -74.64% |
| Jun 30, 2023 | -88.53% |
| Mar 31, 2023 | -89.61% |
| Dec 31, 2022 | -108.36% |
| Sep 30, 2022 | -82.23% |
| Jun 30, 2022 | -90.76% |
| Mar 31, 2022 | -95.36% |
| Dec 31, 2021 | -70.89% |
| Sep 30, 2021 | -73.61% |
Mercury General 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=MCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MCY", "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=MCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();