Employers Holdings (EIG) Return on Sales [ROS] (2009 - 2026)
Employers Holdings' Return on Sales [ROS] was -39.78% in Q2 2026, up 2.08 percentage points from -41.86% a year earlier and up 16.24 percentage points from the prior quarter.
Employers Holdings (EIG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Employers Holdings' Return on Sales [ROS] was -67.54% through Jun 30, 2026, down 26.22 percentage points year-over-year; for FY2025, it came in at -66.36%, down 31.21 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -44.61 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -35.14% in FY2024 (-4.90 pp), -30.24% in FY2023 (+16.74 pp), -46.98% in FY2022 (-23.06 pp) and -23.92% in FY2021 (-2.18 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -17.90 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 29.63 percentage points); the worst was Q4 2025 (a drop of 59.90 percentage points).
- Per Business Quant data, EIG's Return on Sales [ROS] in the three quarters before Q2 2026 was -56.02% (Q1 2026), -96.19% (Q4 2025) and -82.66% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | -29.67% |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | -19.39% |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | -43.89% |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | 25.65% |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | -25.96% |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | 11.89% |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | -53.77% |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | 14.54% |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | 21.55% |
| 10 | Employers Holdings | 874.37 Mn | -540.23 Mn | 97.90 Mn | -39.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.78% |
| Mar 31, 2026 | -56.02% |
| Dec 31, 2025 | -96.19% |
| Sep 30, 2025 | -82.66% |
| Jun 30, 2025 | -41.86% |
| Mar 31, 2025 | -51.73% |
| Dec 31, 2024 | -36.29% |
| Sep 30, 2024 | -36.16% |
| Jun 30, 2024 | -31.71% |
| Mar 31, 2024 | -36.40% |
| Dec 31, 2023 | -15.42% |
| Sep 30, 2023 | -47.91% |
| Jun 30, 2023 | -21.70% |
| Mar 31, 2023 | -37.97% |
| Dec 31, 2022 | -17.23% |
| Sep 30, 2022 | -43.30% |
| Jun 30, 2022 | -51.33% |
| Mar 31, 2022 | -63.62% |
| Dec 31, 2021 | -1.15% |
| Sep 30, 2021 | -43.14% |
Employers Holdings 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=EIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EIG", "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=EIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();