Abbott Laboratories (ABT) Amortization - Intangibles (2012 - 2026)
Abbott Laboratories (ABT) posted Amortization - Intangibles of $841 million for Q3 2026, up 100.2% from $420 million a year earlier and up 27.8% from the prior quarter.
Abbott Laboratories (ABT) Amortization - Intangibles (2012 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Amortization - Intangibles at Abbott Laboratories was $2.34 billion, up 35.8% 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 Q3 2026 figure stands as the highest quarterly Amortization - Intangibles in data going back to Q1 2012.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last three quarters, with growth averaging 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q3 2026, with growth of 100.2%; the weakest was Q1 2025, with a decline of 11.0%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $658 million (Q2 2026), $422 million (Q1 2026) and $422 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 841.00 Mn |
| 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 |
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_KEY
import 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();