Abbott Laboratories (ABT) Operating Margin (2009 - 2026)
Abbott Laboratories' Operating Margin was 13.44% in Q2 2026, down 4.97 percentage points from 18.42% a year earlier but up 1.40 percentage points from the prior quarter.
Abbott Laboratories (ABT) Operating Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Abbott Laboratories' Operating Margin was 15.77% through Jun 30, 2026, down 1.66 percentage points year-over-year; for FY2025, it came in at 18.17%, up 1.90 percentage points from FY2024.
- Operating Margin shows a five-year change of +2.69 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 16.27% in FY2024 (+0.12 pp), 16.15% in FY2023 (-3.00 pp), 19.16% in FY2022 (-0.40 pp) and 19.56% in FY2021 (+4.08 pp).
- Quarterly Operating Margin has moved between 12.05% (Q1 2026) and 24.48% (Q1 2022) over five years.
- Compared with a year earlier, Operating Margin was higher in six of the last eight quarters, with an average year-over-year change of -0.05 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q2 2022 (a gain of 7.49 percentage points); the worst was Q1 2023 (a drop of 9.00 percentage points).
- Per Business Quant data, ABT's Operating Margin in the three quarters before Q2 2026 was 12.05% (Q1 2026), 19.64% (Q4 2025) and 18.09% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 29.48% |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 23.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.44% |
| Mar 31, 2026 | 12.05% |
| Dec 31, 2025 | 19.64% |
| Sep 30, 2025 | 18.09% |
| Jun 30, 2025 | 18.42% |
| Mar 31, 2025 | 16.34% |
| Dec 31, 2024 | 17.41% |
| Sep 30, 2024 | 17.48% |
| Jun 30, 2024 | 16.08% |
| Mar 31, 2024 | 13.91% |
| Dec 31, 2023 | 17.38% |
| Sep 30, 2023 | 16.24% |
| Jun 30, 2023 | 15.45% |
| Mar 31, 2023 | 15.48% |
| Dec 31, 2022 | 12.92% |
| Sep 30, 2022 | 17.00% |
| Jun 30, 2022 | 21.11% |
| Mar 31, 2022 | 24.48% |
| Dec 31, 2021 | 20.74% |
| Sep 30, 2021 | 23.30% |
Abbott Laboratories Operating Margin 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=operating-margin&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();