Abbott Laboratories (ABT) Research & Development (2009 - 2026)
Abbott Laboratories' Research & Development was $892 million in Q2 2026, up 23.0% from $725 million a year earlier and up 16.3% from the prior quarter.
Abbott Laboratories (ABT) Research & Development (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Abbott Laboratories' Research & Development was $3.16 billion through Jun 30, 2026, up 8.9% year-over-year; for FY2025, it came in at $2.94 billion, up 3.4% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In earlier years, Research & Development was $2.84 billion in FY2024 (+3.8%), $2.74 billion in FY2023 (-5.1%), $2.89 billion in FY2022 (+5.3%) and $2.74 billion in FY2021 (+13.3%).
- The Q2 2026 figure marks the highest quarterly Research & Development since Q3 2011.
- Compared with a year earlier, Research & Development was higher in seven of the last eight quarters, with growth averaging 7.2%.
- The best year-over-year quarter for Research & Development over five years was Q2 2026 (growth of 23.0%); the worst was Q3 2023 (a decline of 14.1%).
- Per Business Quant data, ABT's Research & Development in the three quarters before Q2 2026 was $767 million (Q1 2026), $735 million (Q4 2025) and $766 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 364.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 892.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 412.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 370.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 434.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 554.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 258.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 278.90 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 123.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 892.00 Mn |
| Mar 31, 2026 | 767.00 Mn |
| Dec 31, 2025 | 735.00 Mn |
| Sep 30, 2025 | 766.00 Mn |
| Jun 30, 2025 | 725.00 Mn |
| Mar 31, 2025 | 716.00 Mn |
| Dec 31, 2024 | 749.00 Mn |
| Sep 30, 2024 | 713.00 Mn |
| Jun 30, 2024 | 698.00 Mn |
| Mar 31, 2024 | 684.00 Mn |
| Dec 31, 2023 | 700.00 Mn |
| Sep 30, 2023 | 672.00 Mn |
| Jun 30, 2023 | 715.00 Mn |
| Mar 31, 2023 | 654.00 Mn |
| Dec 31, 2022 | 725.00 Mn |
| Sep 30, 2022 | 782.00 Mn |
| Jun 30, 2022 | 684.00 Mn |
| Mar 31, 2022 | 697.00 Mn |
| Dec 31, 2021 | 762.00 Mn |
| Sep 30, 2021 | 672.00 Mn |
Abbott Laboratories Research & Development 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=research-and-development&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();