Abbott Laboratories (ABT) EBITDA Margin (2009 - 2026)
Abbott Laboratories (ABT) recorded EBITDA Margin of 21.86% in Q2 2026, down 3.53 percentage points from 25.39% a year earlier but up 2.62 percentage points from the prior quarter.
Abbott Laboratories (ABT) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Abbott Laboratories' EBITDA Margin came in at 23.17% as of Jun 30, 2026, down 1.55 percentage points year-over-year; for FY2025, it came in at 25.20%, up 1.26 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +0.10 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 23.94% in FY2024 (-0.30 pp), 24.24% in FY2023 (-2.40 pp), 26.64% in FY2022 (-1.13 pp) and 27.77% in FY2021 (+2.68 pp).
- Quarterly EBITDA Margin has ranged from 19.24% in Q1 2026 to 31.40% in Q1 2022 over the past five years.
- On a year-over-year basis, EBITDA Margin rose in five of the last eight quarters, with an average year-over-year change of -0.35 percentage points.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 6.24 percentage points in Q2 2022, against a drop of 7.65 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 19.24% (Q1 2026), 26.56% (Q4 2025) and 25.05% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 24.20% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 21.86% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 28.51% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 41.08% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 25.55% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 29.67% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 28.17% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 31.93% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 24.62% |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 27.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.86% |
| Mar 31, 2026 | 19.24% |
| Dec 31, 2025 | 26.56% |
| Sep 30, 2025 | 25.05% |
| Jun 30, 2025 | 25.39% |
| Mar 31, 2025 | 23.64% |
| Dec 31, 2024 | 24.77% |
| Sep 30, 2024 | 25.01% |
| Jun 30, 2024 | 23.84% |
| Mar 31, 2024 | 21.99% |
| Dec 31, 2023 | 25.32% |
| Sep 30, 2023 | 24.36% |
| Jun 30, 2023 | 23.47% |
| Mar 31, 2023 | 23.75% |
| Dec 31, 2022 | 20.92% |
| Sep 30, 2022 | 24.83% |
| Jun 30, 2022 | 28.41% |
| Mar 31, 2022 | 31.40% |
| Dec 31, 2021 | 28.44% |
| Sep 30, 2021 | 31.05% |
Abbott Laboratories EBITDA 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=ebitda-margin&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();