Bristol Myers Squibb (BMY) Tax Provisions (2009 - 2026)
Bristol Myers Squibb's Tax Provisions came in at $770 million for Q2 2026, up 67.4% from $460 million a year earlier and up 37.3% from the prior quarter.
Bristol Myers Squibb (BMY) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bristol Myers Squibb reported Tax Provisions of $2.63 billion, up 72.3% year-over-year; for FY2025, it was $2.27 billion, up 310.1% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $554 million in FY2024 (+38.5%), $400 million in FY2023 (-70.8%), $1.37 billion in FY2022 (+26.2%) and $1.08 billion in FY2021 (-49.0%).
- The five-year range for quarterly Tax Provisions is -$514 million (Q4 2021) to $919 million (Q3 2025).
- Year-over-year, Tax Provisions has increased for four consecutive quarters, with growth averaging 103.6% over the last six quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q4 2025 (growth of 287.9%), and the weakest in Q3 2023 (a decline of 66.2%).
- Business Quant data shows BMY's Tax Provisions at $561 million (Q1 2026), $384 million (Q4 2025) and $919 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 2.15 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 1.21 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 662.00 Mn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 654.00 Mn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 1.01 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 291.00 Mn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 393.00 Mn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 242.00 Mn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | -407.00 Mn |
| 10 | Bristol Myers Squibb | 120.21 Bn | 71.48 Bn | 9.25 Bn | 770.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 770.00 Mn |
| Mar 31, 2026 | 561.00 Mn |
| Dec 31, 2025 | 384.00 Mn |
| Sep 30, 2025 | 919.00 Mn |
| Jun 30, 2025 | 460.00 Mn |
| Mar 31, 2025 | 509.00 Mn |
| Dec 31, 2024 | 99.00 Mn |
| Sep 30, 2024 | 461.00 Mn |
| Jun 30, 2024 | -398.00 Mn |
| Mar 31, 2024 | 392.00 Mn |
| Dec 31, 2023 | -88.00 Mn |
| Sep 30, 2023 | 203.00 Mn |
| Jun 30, 2023 | -218.00 Mn |
| Mar 31, 2023 | 503.00 Mn |
| Dec 31, 2022 | -166.00 Mn |
| Sep 30, 2022 | 601.00 Mn |
| Jun 30, 2022 | 529.00 Mn |
| Mar 31, 2022 | 404.00 Mn |
| Dec 31, 2021 | -514.00 Mn |
| Sep 30, 2021 | 605.00 Mn |
Bristol Myers Squibb Tax Provisions 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=tax-provisions&ticker=BMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();