Bristol Myers Squibb (BMY) Long-Term Debt Repayments (2009 - 2026)
Bristol Myers Squibb's Long-Term Debt Repayments came in at $1.22 billion for Q2 2026, up 89.7% from $643 million a year earlier and up 144.0% from the prior quarter.
Bristol Myers Squibb (BMY) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bristol Myers Squibb reported Long-Term Debt Repayments of $12.02 billion, up 285.0% year-over-year; for FY2025, it was $10.94 billion, up 280.8% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 31.8% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $2.87 billion in FY2024 (-25.9%), $3.88 billion in FY2023 (-66.1%), $11.43 billion in FY2022 (+89.8%) and $6.02 billion in FY2021 (+119.0%).
- The five-year range for quarterly Long-Term Debt Repayments is $229 million (Q3 2025) to $10.07 billion (Q4 2025).
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2022 (growth of 457.0%), and the weakest in Q2 2023 (a decline of 91.7%).
- Business Quant data shows BMY's Long-Term Debt Repayments at $500 million (Q1 2026), $10.07 billion (Q4 2025) and $229 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.00 Mn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 2.00 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 5.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -2.45 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 17.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 1.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22 Bn |
| Mar 31, 2026 | 500.00 Mn |
| Dec 31, 2025 | 10.07 Bn |
| Sep 30, 2025 | 229.00 Mn |
| Jun 30, 2025 | 643.00 Mn |
| Sep 30, 2024 | 2.48 Bn |
| Jun 30, 2024 | 395.00 Mn |
| Dec 31, 2023 | 2.00 Bn |
| Jun 30, 2023 | 239.00 Mn |
| Mar 31, 2023 | 1.64 Bn |
| Sep 30, 2022 | 2.79 Bn |
| Jun 30, 2022 | 2.88 Bn |
| Mar 31, 2022 | 5.77 Bn |
| Sep 30, 2021 | 500.00 Mn |
| Jun 30, 2021 | 1.00 Bn |
| Mar 31, 2021 | 4.52 Bn |
| Dec 31, 2020 | 1.25 Bn |
| Sep 30, 2020 | 1.50 Bn |
| Dec 31, 2019 | 8.00 Bn |
| Jun 30, 2019 | 6.00 Mn |
Bristol Myers Squibb Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();