Abbott Laboratories (ABT) Intangibles (2009 - 2026)
Abbott Laboratories (ABT) posted Intangibles of $17.21 billion for Q2 2026, up 190.7% from $5.92 billion a year earlier but down 3.7% from the prior quarter.
Abbott Laboratories (ABT) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Abbott Laboratories' Intangibles came in at $5.53 billion, down 16.9% from FY2024.
- Annual Intangibles has declined for eight consecutive years, with a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- In prior years, Abbott Laboratories' Intangibles was $6.65 billion in FY2024 (-24.6%), $8.82 billion in FY2023 (-15.7%), $10.45 billion in FY2022 (-17.9%) and $12.74 billion in FY2021 (-13.8%).
- Quarterly Intangibles has run from a low of $5.53 billion in Q4 2025 to a high of $17.88 billion in Q1 2026 over five years.
- On a year-over-year basis, Intangibles increased in two of the last eight quarters, with growth averaging 30.2%.
- The strongest year-over-year quarter for Intangibles in the past five years was Q2 2026, with growth of 190.7%; the weakest was Q4 2024, with a decline of 24.6%.
- According to Business Quant data, Intangibles for the three prior quarters was $17.88 billion (Q1 2026), $5.53 billion (Q4 2025) and $5.6 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 18.61 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 17.21 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 21.36 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.14 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 10.24 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 6.92 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.38 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 448.00 Mn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 906.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.21 Bn |
| Mar 31, 2026 | 17.88 Bn |
| Dec 31, 2025 | 5.53 Bn |
| Sep 30, 2025 | 5.60 Bn |
| Jun 30, 2025 | 5.92 Bn |
| Mar 31, 2025 | 6.26 Bn |
| Dec 31, 2024 | 6.65 Bn |
| Sep 30, 2024 | 7.35 Bn |
| Jun 30, 2024 | 7.83 Bn |
| Mar 31, 2024 | 8.30 Bn |
| Dec 31, 2023 | 8.82 Bn |
| Sep 30, 2023 | 9.28 Bn |
| Jun 30, 2023 | 9.83 Bn |
| Mar 31, 2023 | 10.01 Bn |
| Dec 31, 2022 | 10.45 Bn |
| Sep 30, 2022 | 10.85 Bn |
| Jun 30, 2022 | 11.59 Bn |
| Mar 31, 2022 | 12.23 Bn |
| Dec 31, 2021 | 12.74 Bn |
| Sep 30, 2021 | 13.31 Bn |
Abbott Laboratories 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=intangibles&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();