Universal Insurance Holdings (UVE) Receivables (2009 - 2026)
Universal Insurance Holdings (UVE) recorded Receivables of $98.16 million in Q3 2026, up 19.1% from $82.4 million a year earlier and up 14.8% from the prior quarter.
Universal Insurance Holdings (UVE) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Universal Insurance Holdings reported Receivables of $262.95 million, up 5.2% from FY2024.
- Annual Receivables has increased for four straight years, with a five-year compound annual growth rate of 31.5% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $249.99 million in FY2024 (+6.5%), $234.78 million in FY2023 (+10.0%), $213.37 million in FY2022 (+228.6%) and $64.92 million in FY2021 (-2.9%).
- Quarterly Receivables has ranged from $61.67 million in Q1 2022 to $262.95 million in Q4 2025 over the past five years.
- On a year-over-year basis, Receivables has increased for four consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 228.6% in Q4 2022, against a decline of 10.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $85.54 million (Q2 2026), $75.96 million (Q1 2026) and $262.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn | 58.68 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn | 18.19 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn | 17.34 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - | 8.55 Bn |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn | 12.14 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn | 8.54 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - | 5.13 Bn |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn | 12.38 Bn |
| 10 | Universal Insurance Holdings | 1.33 Bn | -1.19 Bn | 178.83 Mn | 98.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 98.16 Mn |
| Jun 30, 2026 | 85.54 Mn |
| Mar 31, 2026 | 75.96 Mn |
| Dec 31, 2025 | 262.95 Mn |
| Sep 30, 2025 | 82.40 Mn |
| Jun 30, 2025 | 83.59 Mn |
| Mar 31, 2025 | 71.87 Mn |
| Dec 31, 2024 | 249.99 Mn |
| Sep 30, 2024 | 92.40 Mn |
| Jun 30, 2024 | 87.17 Mn |
| Mar 31, 2024 | 73.97 Mn |
| Dec 31, 2023 | 234.78 Mn |
| Sep 30, 2023 | 88.54 Mn |
| Jun 30, 2023 | 79.50 Mn |
| Mar 31, 2023 | 64.84 Mn |
| Dec 31, 2022 | 213.37 Mn |
| Sep 30, 2022 | 79.62 Mn |
| Jun 30, 2022 | 79.31 Mn |
| Mar 31, 2022 | 61.67 Mn |
| Dec 31, 2021 | 64.92 Mn |
Universal Insurance Holdings Receivables 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=receivables&ticker=UVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=UVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();