United Fire (UFCS) Price to Earnings (2011 - 2026)
United Fire's Price to Earnings was 9.56 in Q2 2026, up 20.0% from 7.97 a year earlier and up 31.3% from the prior quarter.
Analysis
United Fire (UFCS) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Price to Earnings at United Fire came in at 7.85, down 32.6% from FY2024.
- In earlier years, Price to Earnings was 11.65 in FY2024, 45.89 in FY2022 (+535.8%) and 7.22 in FY2021.
- The Q2 2026 figure marks the highest quarterly Price to Earnings since Q1 2025.
- Compared with a year earlier, Price to Earnings was higher in 1 of the last five quarters, with an average decline of 25.7%.
- Per Business Quant data, UFCS's Price to Earnings in the three quarters before Q2 2026 was 7.28 (Q1 2026), 7.85 (Q4 2025) and 6.97 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - |
| 10 | United Fire | 1.40 Bn | 712.43 Mn | 171.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.56 |
| Mar 31, 2026 | 7.28 |
| Dec 31, 2025 | 7.85 |
| Sep 30, 2025 | 6.97 |
| Jun 30, 2025 | 7.97 |
| Mar 31, 2025 | 11.33 |
| Dec 31, 2024 | 11.65 |
| Sep 30, 2024 | 10.58 |
| Jun 30, 2024 | 14.81 |
| Dec 31, 2022 | 45.89 |
| Sep 30, 2022 | 13.75 |
| Jun 30, 2022 | 13.06 |
| Mar 31, 2022 | 8.65 |
| Dec 31, 2021 | 7.22 |
| Sep 30, 2021 | 41.48 |
| Dec 31, 2019 | 73.82 |
| Sep 30, 2019 | 136.27 |
| Jun 30, 2019 | 55.46 |
| Mar 31, 2019 | 41.65 |
| Dec 31, 2018 | 50.33 |
API Access
United Fire Price to Earnings 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=price-to-earnings&ticker=UFCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=UFCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();