Hamilton Insurance (HG) Return on Sales [ROS] (2022 - 2026)
Hamilton Insurance's Return on Sales [ROS] came in at 31.21% for Q2 2026, down 5.93 percentage points from 37.15% a year earlier but up 1.68 percentage points from the prior quarter.
Hamilton Insurance (HG) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hamilton Insurance reported Return on Sales [ROS] of 28.92%, up 5.13 percentage points year-over-year; for FY2025, it came in at 29.09%, up 1.44 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a four-year change of +8.31 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was 27.65% in FY2024 (+10.04 pp), 17.61% in FY2023 (+18.51 pp), -0.90% in FY2022 and 20.78% in FY2021.
- The five-year range for quarterly Return on Sales [ROS] is -49.60% (Q3 2022) to 43.06% (Q1 2024).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.02 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 64.82 percentage points), and the weakest in Q1 2025 (a drop of 18.34 percentage points).
- Business Quant data shows HG's Return on Sales [ROS] at 29.54% (Q1 2026), 26.72% (Q4 2025) and 27.74% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | -32.86% |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 22.27% |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 14.33% |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 17.70% |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 20.04% |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | 7.83% |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 17.18% |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 19.73% |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | -3.13% |
| 10 | Hamilton Insurance | 3.83 Bn | -13.86 Bn | 461.31 Mn | 27.97% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.97% |
| Jun 30, 2026 | 31.21% |
| Mar 31, 2026 | 29.54% |
| Dec 31, 2025 | 26.72% |
| Sep 30, 2025 | 27.74% |
| Jun 30, 2025 | 37.15% |
| Mar 31, 2025 | 24.72% |
| Dec 31, 2024 | 14.41% |
| Sep 30, 2024 | 13.54% |
| Jun 30, 2024 | 35.53% |
| Mar 31, 2024 | 43.06% |
| Dec 31, 2023 | 21.57% |
| Sep 30, 2023 | 15.23% |
| Jun 30, 2023 | 13.84% |
| Mar 31, 2023 | 18.64% |
| Dec 31, 2022 | -21.61% |
| Sep 30, 2022 | -115.39% |
Hamilton Insurance 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=HG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HG", "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=HG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();