Thermo Fisher Scientific (TMO) Depreciation and Depletion (2009 - 2026)
Thermo Fisher Scientific's Depreciation and Depletion was $331 million in Q2 2026, up 29.3% from $256 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Thermo Fisher Scientific (TMO) Depreciation and Depletion (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Thermo Fisher Scientific's Depreciation and Depletion was $1.16 billion through Jun 27, 2026, up 2.6% year-over-year; for FY2025, it was $1.05 billion, down 9.2% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $1.16 billion in FY2024 (+8.2%), $1.07 billion in FY2023 (+8.3%), $986 million in FY2022 (+18.7%) and $831 million in FY2021 (+26.3%).
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion in data going back to Q3 2009.
- Compared with a year earlier, Depreciation and Depletion was higher in four of the last eight quarters, with growth averaging 2.8%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q2 2026 (growth of 29.3%); the worst was Q3 2025 (a decline of 22.0%).
- Per Business Quant data, TMO's Depreciation and Depletion in the three quarters before Q2 2026 was $306 million (Q1 2026), $292 million (Q4 2025) and $227 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 24.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 331.00 Mn |
| Mar 28, 2026 | 306.00 Mn |
| Dec 31, 2025 | 292.00 Mn |
| Sep 27, 2025 | 227.00 Mn |
| Jun 28, 2025 | 256.00 Mn |
| Mar 29, 2025 | 276.00 Mn |
| Dec 31, 2024 | 304.00 Mn |
| Sep 28, 2024 | 291.00 Mn |
| Jun 29, 2024 | 276.00 Mn |
| Mar 30, 2024 | 285.00 Mn |
| Dec 31, 2023 | 276.00 Mn |
| Sep 30, 2023 | 269.00 Mn |
| Jul 1, 2023 | 270.00 Mn |
| Apr 1, 2023 | 253.00 Mn |
| Dec 31, 2022 | 256.00 Mn |
| Oct 1, 2022 | 244.00 Mn |
| Jul 2, 2022 | 236.00 Mn |
| Apr 2, 2022 | 250.00 Mn |
| Dec 31, 2021 | 217.00 Mn |
| Oct 2, 2021 | 205.00 Mn |
API Access
Thermo Fisher Scientific Depreciation and Depletion 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=depreciation-and-depletion&ticker=TMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();