Hagerty (HGTY) Return on Sales [ROS] (2020 - 2026)
Hagerty (HGTY) reported Return on Sales [ROS] of 0.63% for Q2 2026, down 11.95 percentage points from 12.58% a year earlier but up 7.34 percentage points from the prior quarter.
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Analysis
Hagerty (HGTY) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Hagerty's Return on Sales [ROS] came in at 3.86%, down 2.71 percentage points year-over-year; for FY2025, it came in at 9.56%, up 4.21 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +6.38 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 5.35% in FY2024 (+4.34 pp), 1.01% in FY2023 (+9.59 pp), -8.58% in FY2022 (-6.95 pp) and -1.63% in FY2021 (-4.80 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -18.13% in Q4 2022 and a high of 12.58% in Q2 2025.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of -0.87 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2023 (a gain of 15.75 percentage points); the low point was Q1 2026 (a drop of 14.55 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -6.71% (Q1 2026), 10.23% (Q4 2025) and 9.03% (Q3 2025).
Peer Set
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 | Hagerty | 4.66 Bn | 4.14 Bn | - | 0.63% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.63% |
| Mar 31, 2026 | -6.71% |
| Dec 31, 2025 | 10.23% |
| Sep 30, 2025 | 9.03% |
| Jun 30, 2025 | 12.58% |
| Mar 31, 2025 | 7.84% |
| Dec 31, 2024 | 1.81% |
| Sep 30, 2024 | 3.12% |
| Jun 30, 2024 | 12.15% |
| Mar 31, 2024 | 4.50% |
| Dec 31, 2023 | -2.38% |
| Sep 30, 2023 | 5.85% |
| Jun 30, 2023 | 6.60% |
| Mar 31, 2023 | -7.55% |
| Dec 31, 2022 | -18.13% |
| Sep 30, 2022 | -9.79% |
| Jun 30, 2022 | 1.16% |
| Mar 31, 2022 | -7.75% |
| Dec 31, 2021 | -13.61% |
| Sep 30, 2021 | 1.05% |
API Access
Hagerty 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=HGTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HGTY", "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=HGTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();