Bristol Myers Squibb (BMY) EV to EBITDA (2009 - 2026)
Bristol Myers Squibb's (BMY) EV to EBITDA was 262.65 for Q2 2026.
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Analysis
Bristol Myers Squibb (BMY) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bristol Myers Squibb's EV to EBITDA came in at 169.88; for FY2023, it came in at 12.19, down 32.5% from FY2022.
- By year, EV to EBITDA came in at 18.06 in FY2022 (+34.2%) and 13.46 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | Bristol Myers Squibb | 126.07 Bn | 77.35 Bn | 9.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 262.65 |
| Mar 31, 2025 | 944.51 |
| Dec 31, 2023 | 12.19 |
| Sep 30, 2023 | 13.98 |
| Jun 30, 2023 | 15.09 |
| Mar 31, 2023 | 15.71 |
| Dec 31, 2022 | 18.06 |
| Sep 30, 2022 | 17.45 |
| Jun 30, 2022 | 18.23 |
| Mar 31, 2022 | 16.96 |
| Dec 31, 2021 | 13.46 |
| Sep 30, 2020 | 112.68 |
| Sep 30, 2019 | 528.26 |
| Jun 30, 2019 | 42.83 |
| Mar 31, 2019 | 555.00 |
| Dec 31, 2018 | 552.20 |
| Sep 30, 2017 | 235.10 |
| Jun 30, 2017 | 86.64 |
| Mar 31, 2017 | 54.18 |
| Dec 31, 2016 | 68.96 |
API Access
Bristol Myers Squibb 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=BMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BMY", "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=BMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();