Universal Insurance Holdings (UVE) Return on Sales [ROS] (2010 - 2026)
Universal Insurance Holdings' Return on Sales [ROS] was -38.16% in Q2 2026, up 14.90 percentage points from -53.06% a year earlier and up 1.18 percentage points from the prior quarter.
Universal Insurance Holdings (UVE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Universal Insurance Holdings' Return on Sales [ROS] was -39.79% through Jun 30, 2026, up 25.09 percentage points year-over-year; for FY2025, it came in at -45.91%, up 19.61 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +22.55 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -65.52% in FY2024 (-1.01 pp), -64.51% in FY2023 (+13.93 pp), -78.44% in FY2022 (-11.57 pp) and -66.87% in FY2021 (+1.60 pp).
- Quarterly Return on Sales [ROS] has moved between -134.92% (Q3 2022) and -32.53% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for four straight quarters, with an average year-over-year change of +11.39 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2022 (a gain of 60.73 percentage points); the worst was Q3 2022 (a drop of 78.84 percentage points).
- Per Business Quant data, UVE's Return on Sales [ROS] in the three quarters before Q2 2026 was -39.34% (Q1 2026), -32.53% (Q4 2025) and -49.35% (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 | Universal Insurance Holdings | 1.22 Bn | -1.11 Bn | 182.47 Mn | -38.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.16% |
| Mar 31, 2026 | -39.34% |
| Dec 31, 2025 | -32.53% |
| Sep 30, 2025 | -49.35% |
| Jun 30, 2025 | -53.06% |
| Mar 31, 2025 | -49.00% |
| Dec 31, 2024 | -72.16% |
| Sep 30, 2024 | -86.04% |
| Jun 30, 2024 | -51.04% |
| Mar 31, 2024 | -51.93% |
| Dec 31, 2023 | -65.85% |
| Sep 30, 2023 | -81.72% |
| Jun 30, 2023 | -54.35% |
| Mar 31, 2023 | -54.26% |
| Dec 31, 2022 | -56.93% |
| Sep 30, 2022 | -134.92% |
| Jun 30, 2022 | -64.35% |
| Mar 31, 2022 | -56.01% |
| Dec 31, 2021 | -117.66% |
| Sep 30, 2021 | -56.08% |
Universal Insurance 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=UVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "UVE", "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=UVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();