Bristol Myers Squibb (BMY) Price to Earnings (2009 - 2026)
Bristol Myers Squibb's (BMY) Price to Earnings stood at 12.68 in Q2 2026, down 32.0% from 18.66 a year earlier and down 25.5% from the prior quarter.
Analysis
Bristol Myers Squibb (BMY) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Bristol Myers Squibb's Price to Earnings came in at 15.57.
- Across earlier years, Price to Earnings came in at 12.93 in FY2023 (-45.8%), 23.87 in FY2022 (+22.8%) and 19.43 in FY2021.
- The Q2 2026 figure is the lowest quarterly Price to Earnings since Q2 2019.
- Per Business Quant, the preceding three quarters came in at 17.02 (Q1 2026), 15.57 (Q4 2025) and 15.20 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,131.95 Bn | 1,100.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.80 Bn | 555.66 Bn | 17.30 Bn |
| 3 | AbbVie | 506.62 Bn | 479.73 Bn | 12.70 Bn |
| 4 | Merck | 358.64 Bn | 313.02 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.18 Bn | 256.17 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.70 Bn | 239.39 Bn | 12.86 Bn |
| 7 | Amgen | 237.74 Bn | 193.14 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.25 Bn | 169.45 Bn | 6.22 Bn |
| 9 | Pfizer | 171.25 Bn | 117.90 Bn | 10.94 Bn |
| 10 | Bristol Myers Squibb | 126.05 Bn | 77.32 Bn | 9.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.68 |
| Mar 31, 2026 | 17.02 |
| Dec 31, 2025 | 15.57 |
| Sep 30, 2025 | 15.20 |
| Jun 30, 2025 | 18.66 |
| Mar 31, 2025 | 22.90 |
| Dec 31, 2023 | 12.93 |
| Sep 30, 2023 | 14.25 |
| Jun 30, 2023 | 16.78 |
| Mar 31, 2023 | 19.92 |
| Dec 31, 2022 | 23.87 |
| Sep 30, 2022 | 22.64 |
| Jun 30, 2022 | 24.85 |
| Mar 31, 2022 | 24.87 |
| Dec 31, 2021 | 19.43 |
| Mar 31, 2020 | 132.20 |
| Dec 31, 2019 | 31.82 |
| Sep 30, 2019 | 14.61 |
| Jun 30, 2019 | 11.96 |
| Mar 31, 2019 | 15.17 |
API Access
Bristol Myers Squibb 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=BMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();