Berkshire Hathaway (BRK-B) EV to EBITDA (2015 - 2023)
Berkshire Hathaway's (BRK-B) EV to EBITDA came in at 116.01 for Q4 2023.
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Analysis
Berkshire Hathaway (BRK-B) EV to EBITDA (2015 - 2023) Analysis & Trends
For the trailing twelve months through Dec 31, 2023, EV to EBITDA at Berkshire Hathaway was -210.79; for FY2018, it came in at 8.52, down 47.2% from FY2017.
- In prior years, Berkshire Hathaway's EV to EBITDA was 16.12 in FY2017 (+45.0%), 11.12 in FY2016 (+37.8%), 8.07 in FY2015 and -1.93 in FY2014.
- The Q4 2023 figure stands as the highest quarterly EV to EBITDA since Q4 2021.
Peer Set
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 | Allstate | 57.25 Bn | 18.50 Bn | 8.73 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 116.01 |
| Dec 31, 2021 | 232.06 |
| Jun 30, 2019 | 23.05 |
| Mar 31, 2019 | 11.78 |
| Dec 31, 2018 | 8.57 |
| Sep 30, 2018 | 13.76 |
| Jun 30, 2018 | 12.43 |
| Mar 31, 2018 | 16.47 |
| Dec 31, 2017 | 16.12 |
| Sep 30, 2017 | 0.01 |
| Jun 30, 2017 | 12.65 |
| Mar 31, 2017 | 12.43 |
| Dec 31, 2016 | 11.12 |
| Sep 30, 2016 | 0.01 |
| Jun 30, 2016 | 0.01 |
| Mar 31, 2016 | 0.01 |
| Dec 31, 2015 | 20.53 |
API Access
Berkshire Hathaway 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=BRK-B&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BRK-B", "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=BRK-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();