Abbott Laboratories (ABT) Tax Provisions (2009 - 2026)
Abbott Laboratories (ABT) posted Tax Provisions of $596 million for Q2 2026, up 60.6% from $371 million a year earlier and up 60.2% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Abbott Laboratories was $2.09 billion; for FY2025, it came in at $1.94 billion.
- Annual Tax Provisions shows a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- In prior years, Abbott Laboratories' Tax Provisions was -$6.39 billion in FY2024, $941 million in FY2023 (-31.5%), $1.37 billion in FY2022 (+20.4%) and $1.14 billion in FY2021 (+129.4%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q4 2017.
- On a year-over-year basis, Tax Provisions increased in five of the last six quarters, with growth averaging 47.8%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2025, with growth of 114.7%; the weakest was Q1 2023, with a decline of 43.1%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $372 million (Q1 2026), $582 million (Q4 2025) and $536 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 596.00 Mn |
| Mar 31, 2026 | 372.00 Mn |
| Dec 31, 2025 | 582.00 Mn |
| Sep 30, 2025 | 536.00 Mn |
| Jun 30, 2025 | 371.00 Mn |
| Mar 31, 2025 | 453.00 Mn |
| Dec 31, 2024 | -7.20 Bn |
| Sep 30, 2024 | 294.00 Mn |
| Jun 30, 2024 | 305.00 Mn |
| Mar 31, 2024 | 211.00 Mn |
| Dec 31, 2023 | 201.00 Mn |
| Sep 30, 2023 | 235.00 Mn |
| Jun 30, 2023 | 261.00 Mn |
| Mar 31, 2023 | 244.00 Mn |
| Dec 31, 2022 | 287.00 Mn |
| Sep 30, 2022 | 323.00 Mn |
| Jun 30, 2022 | 334.00 Mn |
| Mar 31, 2022 | 429.00 Mn |
| Dec 31, 2021 | 338.00 Mn |
| Sep 30, 2021 | 393.00 Mn |
API Access
Abbott Laboratories 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=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "ABT", "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=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();