Abbott Laboratories (ABT) Depreciation and Depletion (2009 - 2026)
Abbott Laboratories (ABT) reported Depreciation and Depletion of $402 million for Q2 2026, up 12.6% from $357 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Abbott Laboratories' Depreciation and Depletion came in at $1.52 billion, up 11.6% year-over-year; for FY2025, it came in at $1.43 billion, up 7.0% from FY2024.
- Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $1.34 billion in FY2024 (+4.9%), $1.28 billion in FY2023 (+1.8%), $1.25 billion in FY2022 (-15.9%) and $1.49 billion in FY2021 (+24.8%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion since Q1 2021.
- Year over year, Depreciation and Depletion has now increased in each of the last 12 quarters, with growth averaging 7.2% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2026 (growth of 13.4%); the low point was Q1 2022 (a decline of 26.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $381 million (Q1 2026), $370 million (Q4 2025) and $371 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 122.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 46.99 Bn | 39.88 Bn | 1.04 Bn | 24.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 402.00 Mn |
| Mar 31, 2026 | 381.00 Mn |
| Dec 31, 2025 | 370.00 Mn |
| Sep 30, 2025 | 371.00 Mn |
| Jun 30, 2025 | 357.00 Mn |
| Mar 31, 2025 | 336.00 Mn |
| Dec 31, 2024 | 342.00 Mn |
| Sep 30, 2024 | 331.00 Mn |
| Jun 30, 2024 | 334.00 Mn |
| Mar 31, 2024 | 333.00 Mn |
| Dec 31, 2023 | 332.00 Mn |
| Sep 30, 2023 | 328.00 Mn |
| Jun 30, 2023 | 302.00 Mn |
| Mar 31, 2023 | 315.00 Mn |
| Dec 31, 2022 | 311.00 Mn |
| Sep 30, 2022 | 317.00 Mn |
| Jun 30, 2022 | 315.00 Mn |
| Mar 31, 2022 | 311.00 Mn |
| Dec 31, 2021 | 369.00 Mn |
| Sep 30, 2021 | 327.00 Mn |
API Access
Abbott Laboratories 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=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();