Universal Insurance Holdings (UVE) Net Income (2010 - 2026)
Universal Insurance Holdings' Net Income was $59.19 million in Q2 2026, up 68.7% from $35.09 million a year earlier and up 9.0% from the prior quarter.
Universal Insurance Holdings (UVE) Net Income (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Universal Insurance Holdings' Net Income was $219.9 million through Jun 30, 2026, up 231.2% year-over-year; for FY2025, it came in at $182.95 million, up 210.5% from FY2024.
- Net Income shows a five-year compound annual growth rate of 57.1% (FY2020 to FY2025).
- In earlier years, Net Income was $58.93 million in FY2024 (-11.8%), $66.82 million in FY2023, -$22.26 million in FY2022 and $20.41 million in FY2021 (+6.8%).
- Quarterly Net Income has moved between -$72.28 million (Q3 2022) and $66.59 million (Q4 2025) over five years.
- Compared with a year earlier, Net Income was higher in three of the last five quarters, with growth averaging 10.4%.
- The best year-over-year quarter for Net Income over five years was Q2 2023 (growth of 287.6%); the worst was Q4 2024 (a decline of 69.9%).
- Per Business Quant data, UVE's Net Income in the three quarters before Q2 2026 was $54.29 million (Q1 2026), $66.59 million (Q4 2025) and $39.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 25.77 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 2.88 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 3.31 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 1.29 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 2.21 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 1.68 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 779.00 Mn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 565.00 Mn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 324.00 Mn |
| 10 | Universal Insurance Holdings | 1.17 Bn | -1.16 Bn | 182.47 Mn | 59.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.19 Mn |
| Mar 31, 2026 | 54.29 Mn |
| Dec 31, 2025 | 66.59 Mn |
| Sep 30, 2025 | 39.83 Mn |
| Jun 30, 2025 | 35.09 Mn |
| Mar 31, 2025 | 41.44 Mn |
| Dec 31, 2024 | 6.02 Mn |
| Sep 30, 2024 | -16.16 Mn |
| Jun 30, 2024 | 35.42 Mn |
| Mar 31, 2024 | 33.66 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | -5.92 Mn |
| Jun 30, 2023 | 28.57 Mn |
| Mar 31, 2023 | 24.17 Mn |
| Dec 31, 2022 | 25.11 Mn |
| Sep 30, 2022 | -72.28 Mn |
| Jun 30, 2022 | 7.37 Mn |
| Mar 31, 2022 | 17.54 Mn |
| Dec 31, 2021 | -48.13 Mn |
| Sep 30, 2021 | 20.16 Mn |
Universal Insurance Holdings Net Income 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=net-income&ticker=UVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=UVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();