United Fire (UFCS) Operating Expenses (2010 - 2026)
United Fire (UFCS) posted Operating Expenses of $341.78 million for Q2 2026, up 11.6% from $306.27 million a year earlier and up 3.1% from the prior quarter.
United Fire (UFCS) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at United Fire was $1.3 billion, up 7.4% year-over-year; for FY2025, it came in at $1.24 billion, up 5.3% from FY2024.
- Annual Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In prior years, United Fire's Operating Expenses was $1.18 billion in FY2024 (+3.6%), $1.14 billion in FY2023 (+17.2%), $968.21 million in FY2022 (-0.1%) and $969.35 million in FY2021 (-21.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 8.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2023, with growth of 45.3%; the weakest was Q4 2021, with a decline of 38.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $331.43 million (Q1 2026), $317.6 million (Q4 2025) and $305.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | United Fire | 1.37 Bn | 679.53 Mn | 171.45 Mn | 341.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 341.78 Mn |
| Mar 31, 2026 | 331.43 Mn |
| Dec 31, 2025 | 317.60 Mn |
| Sep 30, 2025 | 305.34 Mn |
| Jun 30, 2025 | 306.27 Mn |
| Mar 31, 2025 | 309.26 Mn |
| Dec 31, 2024 | 293.63 Mn |
| Sep 30, 2024 | 297.99 Mn |
| Jun 30, 2024 | 304.94 Mn |
| Mar 31, 2024 | 279.72 Mn |
| Dec 31, 2023 | 263.19 Mn |
| Sep 30, 2023 | 265.58 Mn |
| Jun 30, 2023 | 339.32 Mn |
| Mar 31, 2023 | 267.11 Mn |
| Dec 31, 2022 | 257.52 Mn |
| Sep 30, 2022 | 266.80 Mn |
| Jun 30, 2022 | 233.60 Mn |
| Mar 31, 2022 | 210.29 Mn |
| Dec 31, 2021 | 200.21 Mn |
| Sep 30, 2021 | 262.97 Mn |
United Fire Operating Expenses 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=operating-expenses&ticker=UFCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=UFCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();