Universal Insurance Holdings (UVE) Cash & Equivalents (2010 - 2026)
Universal Insurance Holdings' Cash & Equivalents was $532.16 million in Q2 2026, up 45.0% from $367.11 million a year earlier but down 10.7% from the prior quarter.
Universal Insurance Holdings (UVE) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Universal Insurance Holdings came in at $408.87 million, up 57.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 19.6% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $259.44 million in FY2024 (-34.7%), $397.31 million in FY2023 (+2.2%), $388.71 million in FY2022 (+55.2%) and $250.51 million in FY2021 (+49.9%).
- Quarterly Cash & Equivalents has moved between $165.4 million (Q1 2022) and $595.77 million (Q1 2026) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for six straight quarters, with growth averaging 20.8% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2023 (growth of 99.6%); the worst was Q3 2021 (a decline of 44.5%).
- Per Business Quant data, UVE's Cash & Equivalents in the three quarters before Q2 2026 was $595.77 million (Q1 2026), $408.87 million (Q4 2025) and $405.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,079.16 Bn | -338.32 Bn | 55.86 Bn | 40.61 Bn |
| 2 | Chubb | 127.75 Bn | 79.80 Bn | 9.13 Bn | 2.75 Bn |
| 3 | Progressive | 122.68 Bn | 98.52 Bn | 9.04 Bn | 193.00 Mn |
| 4 | Marsh & Mclennan Companies | 82.15 Bn | 73.89 Bn | - | 1.70 Bn |
| 5 | Travelers Companies | 75.41 Bn | 51.66 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 72.51 Bn | 73.72 Bn | - | - |
| 7 | Metlife | 60.18 Bn | -46.30 Bn | 7.82 Bn | 19.30 Bn |
| 8 | Arthur J. Gallagher | 59.45 Bn | 53.89 Bn | - | 1.39 Bn |
| 9 | Aon | 58.55 Bn | 51.79 Bn | - | 1.06 Bn |
| 10 | Universal Insurance Holdings | 1.20 Bn | -1.13 Bn | 182.47 Mn | 532.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 532.16 Mn |
| Mar 31, 2026 | 595.77 Mn |
| Dec 31, 2025 | 408.87 Mn |
| Sep 30, 2025 | 405.11 Mn |
| Jun 30, 2025 | 367.11 Mn |
| Mar 31, 2025 | 398.18 Mn |
| Dec 31, 2024 | 259.44 Mn |
| Sep 30, 2024 | 333.68 Mn |
| Jun 30, 2024 | 283.26 Mn |
| Mar 31, 2024 | 396.32 Mn |
| Dec 31, 2023 | 397.31 Mn |
| Sep 30, 2023 | 343.53 Mn |
| Jun 30, 2023 | 291.68 Mn |
| Mar 31, 2023 | 330.16 Mn |
| Dec 31, 2022 | 388.71 Mn |
| Sep 30, 2022 | 307.44 Mn |
| Jun 30, 2022 | 316.95 Mn |
| Mar 31, 2022 | 165.40 Mn |
| Dec 31, 2021 | 250.51 Mn |
| Sep 30, 2021 | 224.82 Mn |
Universal Insurance Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=UVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=UVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();