Kemper (KMPR) EV to EBITDA (2019 - 2026)
Kemper's (KMPR) EV to EBITDA came in at 10.41 for Q1 2026, up 48.6% from 7.00 a year earlier and up 38.7% from the prior quarter.
Kemper (KMPR) EV to EBITDA (2019 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EV to EBITDA at Kemper was 2.76, down 35.4% year-over-year; for FY2025, it was 7.51, down 6.8% from FY2024.
- In prior years, Kemper's EV to EBITDA was 8.05 in FY2024 and 41.68 in FY2021 (+739.8%).
- The Q1 2026 figure stands as the highest quarterly EV to EBITDA since Q3 2024.
- On a year-over-year basis, EV to EBITDA increased in 1 of the last four quarters, with an average decline of 26.7%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 7.51 (Q4 2025), 6.61 (Q3 2025) and 7.09 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,082.55 Bn | -334.93 Bn | 55.86 Bn |
| 2 | Chubb | 128.03 Bn | 80.09 Bn | 9.13 Bn |
| 3 | Progressive | 122.38 Bn | 98.22 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.46 Bn | 73.20 Bn | - |
| 5 | Travelers Companies | 75.77 Bn | 52.02 Bn | 6.23 Bn |
| 6 | Manulife Financial | 73.91 Bn | 75.11 Bn | - |
| 7 | Metlife | 60.71 Bn | -45.77 Bn | 7.82 Bn |
| 8 | Aon | 58.53 Bn | 51.77 Bn | - |
| 9 | Arthur J. Gallagher | 58.38 Bn | 52.82 Bn | - |
| 10 | Kemper | 1.51 Bn | 206.13 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 10.41 |
| Dec 31, 2025 | 7.51 |
| Sep 30, 2025 | 6.61 |
| Jun 30, 2025 | 7.09 |
| Mar 31, 2025 | 7.00 |
| Dec 31, 2024 | 7.93 |
| Sep 30, 2024 | 16.93 |
| Jun 30, 2024 | 64.09 |
| Dec 31, 2021 | 41.68 |
| Sep 30, 2021 | 7.74 |
| Jun 30, 2021 | 5.52 |
| Mar 31, 2021 | 4.79 |
| Dec 31, 2020 | 4.96 |
| Sep 30, 2020 | 4.52 |
| Jun 30, 2020 | 4.98 |
| Mar 31, 2020 | 5.36 |
| Dec 31, 2019 | 52.52 |
Kemper EV to EBITDA 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=ev-to-ebitda&ticker=KMPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "KMPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=KMPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();