Selective Insurance (SIGI) EV to EBITDA (2010 - 2023)
Selective Insurance's EV to EBITDA was 14.58 in Q2 2023, up 43.3% from 10.17 a year earlier and up 23.1% from the prior quarter.
Selective Insurance (SIGI) EV to EBITDA (2010 - 2023) Analysis & Trends
On a trailing twelve-month basis, Selective Insurance's EV to EBITDA was 11.89 through Jun 30, 2023, up 52.2% year-over-year; for FY2022, it came in at 20.30.
- In earlier years, EV to EBITDA was 7.60 in FY2021 (-17.0%), 9.16 in FY2020 (+8.4%), 8.45 in FY2019 (-27.3%) and 11.63 in FY2018 (+20.4%).
- The Q2 2023 figure marks the highest quarterly EV to EBITDA in data going back to Q2 2010.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2023 (growth of 43.3%); the worst was Q1 2020 (a decline of 32.6%).
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 | Selective Insurance | 5.04 Bn | 2.94 Bn | 570.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 14.58 |
| Mar 31, 2023 | 11.84 |
| Jun 30, 2022 | 10.17 |
| Mar 31, 2022 | 8.38 |
| Jun 30, 2021 | 7.30 |
| Mar 31, 2021 | 7.86 |
| Dec 31, 2020 | 9.16 |
| Sep 30, 2020 | 8.10 |
| Jun 30, 2020 | 8.76 |
| Mar 31, 2020 | 6.75 |
| Dec 31, 2019 | 8.45 |
| Sep 30, 2019 | 11.13 |
| Jun 30, 2019 | 11.36 |
| Mar 31, 2019 | 10.02 |
| Dec 31, 2018 | 11.63 |
| Sep 30, 2018 | 11.41 |
| Jun 30, 2018 | 10.21 |
| Mar 31, 2018 | 11.70 |
| Dec 31, 2017 | 9.66 |
| Sep 30, 2017 | 9.08 |
Selective Insurance 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=SIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "SIGI", "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=SIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();