Abbott Laboratories (ABT) Amortization - Intangibles (2012 - 2026)
Abbott Laboratories (ABT) posted Amortization - Intangibles of $658 million for Q2 2026, up 56.7% from $420 million a year earlier and up 55.9% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) Amortization - Intangibles (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortization - Intangibles at Abbott Laboratories was $1.92 billion, up 8.3% year-over-year; for FY2025, it came in at $1.68 billion, down 10.4% from FY2024.
- Annual Amortization - Intangibles has declined for five consecutive years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In prior years, Abbott Laboratories' Amortization - Intangibles was $1.88 billion in FY2024 (-4.5%), $1.97 billion in FY2023 (-2.3%), $2.01 billion in FY2022 (-1.7%) and $2.05 billion in FY2021 (-4.0%).
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles in data going back to Q1 2012.
- On a year-over-year basis, Amortization - Intangibles increased in two of the last eight quarters, with growth averaging 0.9%.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q2 2026, with growth of 56.7%; the weakest was Q1 2025, with a decline of 11.0%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $422 million (Q1 2026), $422 million (Q4 2025) and $420 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 658.00 Mn |
| Mar 31, 2026 | 422.00 Mn |
| Dec 31, 2025 | 422.00 Mn |
| Sep 30, 2025 | 420.00 Mn |
| Jun 30, 2025 | 420.00 Mn |
| Mar 31, 2025 | 420.00 Mn |
| Dec 31, 2024 | 465.00 Mn |
| Sep 30, 2024 | 470.00 Mn |
| Jun 30, 2024 | 471.00 Mn |
| Mar 31, 2024 | 472.00 Mn |
| Dec 31, 2023 | 481.00 Mn |
| Sep 30, 2023 | 496.00 Mn |
| Jun 30, 2023 | 498.00 Mn |
| Mar 31, 2023 | 491.00 Mn |
| Dec 31, 2022 | 496.00 Mn |
| Sep 30, 2022 | 498.00 Mn |
| Jun 30, 2022 | 507.00 Mn |
| Mar 31, 2022 | 512.00 Mn |
| Dec 31, 2021 | 514.00 Mn |
| Sep 30, 2021 | 520.00 Mn |
API Access
Abbott Laboratories Amortization - Intangibles 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=amortization-intangibles&ticker=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();