Thermo Fisher Scientific (TMO) Tax Provisions (2009 - 2026)
Thermo Fisher Scientific (TMO) recorded Tax Provisions of $167 million in Q2 2026, up 81.5% from $92 million a year earlier and up 138.6% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Thermo Fisher Scientific's Tax Provisions came in at $597 million as of Jun 27, 2026, up 36.9% year-over-year; for FY2025, it came in at $547 million, down 16.7% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $657 million in FY2024 (+131.3%), $284 million in FY2023 (-59.6%), $703 million in FY2022 (-36.6%) and $1.11 billion in FY2021 (+30.5%).
- Quarterly Tax Provisions has ranged from $31 million in Q3 2022 to $301 million in Q1 2022 over the past five years.
- On a year-over-year basis, Tax Provisions rose in five of the last eight quarters, with growth averaging 21.4%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 510.9% in Q1 2024, against a decline of 88.6% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $70 million (Q1 2026), $153 million (Q4 2025) and $207 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 243.20 Bn | 222.35 Bn | 4.88 Bn | 167.00 Mn |
| 2 | Abbott Laboratories | 172.35 Bn | 143.43 Bn | 7.27 Bn | 596.00 Mn |
| 3 | Danaher | 154.53 Bn | 138.35 Bn | 3.61 Bn | 208.00 Mn |
| 4 | Intuitive Surgical | 150.04 Bn | 129.59 Bn | 1.96 Bn | 231.40 Mn |
| 5 | Medtronic | 113.25 Bn | 79.11 Bn | 6.34 Bn | 289.00 Mn |
| 6 | Stryker | 106.37 Bn | 92.49 Bn | 4.50 Bn | 288.00 Mn |
| 7 | Boston Scientific | 61.94 Bn | 56.95 Bn | 3.85 Bn | 155.00 Mn |
| 8 | Becton Dickinson | 50.05 Bn | 47.20 Bn | 2.32 Bn | 102.00 Mn |
| 9 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 278.40 Mn |
| 10 | Agilent Technologies | 48.07 Bn | 40.96 Bn | 1.04 Bn | 82.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 167.00 Mn |
| Mar 28, 2026 | 70.00 Mn |
| Dec 31, 2025 | 153.00 Mn |
| Sep 27, 2025 | 207.00 Mn |
| Jun 28, 2025 | 92.00 Mn |
| Mar 29, 2025 | 95.00 Mn |
| Dec 31, 2024 | 150.00 Mn |
| Sep 28, 2024 | 99.00 Mn |
| Jun 29, 2024 | 128.00 Mn |
| Mar 30, 2024 | 281.00 Mn |
| Dec 31, 2023 | 133.00 Mn |
| Sep 30, 2023 | 53.00 Mn |
| Jul 1, 2023 | 52.00 Mn |
| Apr 1, 2023 | 46.00 Mn |
| Dec 31, 2022 | 173.00 Mn |
| Oct 1, 2022 | 31.00 Mn |
| Jul 2, 2022 | 198.00 Mn |
| Apr 2, 2022 | 301.00 Mn |
| Dec 31, 2021 | 203.00 Mn |
| Oct 2, 2021 | 271.00 Mn |
API Access
Thermo Fisher Scientific 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=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "TMO", "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=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();