United Fire (UFCS) Cash & Equivalents (2010 - 2026)
United Fire's Cash & Equivalents was $139.45 million in Q2 2026, down 31.0% from $202.15 million a year earlier and down 13.9% from the prior quarter.
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Analysis
United Fire (UFCS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at United Fire came in at $156.33 million, down 22.2% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $200.95 million in FY2024 (+96.9%), $102.05 million in FY2023 (+5.6%), $96.65 million in FY2022 (-26.8%) and $132.1 million in FY2021 (+50.2%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q4 2023.
- Compared with a year earlier, Cash & Equivalents has declined for three straight quarters, with growth averaging 31.5% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2024 (growth of 309.1%); the worst was Q3 2022 (a decline of 60.1%).
- Per Business Quant data, UFCS's Cash & Equivalents in the three quarters before Q2 2026 was $162.03 million (Q1 2026), $156.33 million (Q4 2025) and $233.74 million (Q3 2025).
Peer Set
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 | United Fire | 1.39 Bn | 694.95 Mn | 171.45 Mn | 139.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.45 Mn |
| Mar 31, 2026 | 162.03 Mn |
| Dec 31, 2025 | 156.33 Mn |
| Sep 30, 2025 | 233.74 Mn |
| Jun 30, 2025 | 202.15 Mn |
| Mar 31, 2025 | 183.68 Mn |
| Dec 31, 2024 | 200.95 Mn |
| Sep 30, 2024 | 197.37 Mn |
| Jun 30, 2024 | 153.43 Mn |
| Mar 31, 2024 | 217.79 Mn |
| Dec 31, 2023 | 102.05 Mn |
| Sep 30, 2023 | 69.15 Mn |
| Jun 30, 2023 | 79.70 Mn |
| Mar 31, 2023 | 53.23 Mn |
| Dec 31, 2022 | 96.65 Mn |
| Sep 30, 2022 | 53.02 Mn |
| Jun 30, 2022 | 91.93 Mn |
| Mar 31, 2022 | 109.52 Mn |
| Dec 31, 2021 | 132.10 Mn |
| Sep 30, 2021 | 132.77 Mn |
API Access
United Fire 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=UFCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "UFCS", "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=UFCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();