Abbott Laboratories (ABT) EBITDA (2009 - 2026)
Abbott Laboratories (ABT) reported EBITDA of $2.75 billion for Q2 2026, down 2.7% from $2.83 billion a year earlier but up 28.2% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Abbott Laboratories' EBITDA came in at $10.79 billion, up 1.3% year-over-year; for FY2025, it was $11.17 billion, up 11.2% from FY2024.
- EBITDA has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- By year, EBITDA came in at $10.04 billion in FY2024 (+3.3%), $9.72 billion in FY2023 (-16.4%), $11.63 billion in FY2022 (-2.8%) and $11.96 billion in FY2021 (+37.8%).
- Five-year quarterly EBITDA spans a low of $2.11 billion in Q4 2022 and a high of $3.74 billion in Q1 2022.
- Year over year, EBITDA gained in six of the last eight quarters, with growth averaging 5.3%.
- The high point for year-over-year EBITDA in five years was Q3 2021 (growth of 47.3%); the low point was Q1 2023 (a decline of 38.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.15 billion (Q1 2026), $3.04 billion (Q4 2025) and $2.85 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.75 Bn |
| Mar 31, 2026 | 2.15 Bn |
| Dec 31, 2025 | 3.04 Bn |
| Sep 30, 2025 | 2.85 Bn |
| Jun 30, 2025 | 2.83 Bn |
| Mar 31, 2025 | 2.45 Bn |
| Dec 31, 2024 | 2.72 Bn |
| Sep 30, 2024 | 2.66 Bn |
| Jun 30, 2024 | 2.47 Bn |
| Mar 31, 2024 | 2.19 Bn |
| Dec 31, 2023 | 2.59 Bn |
| Sep 30, 2023 | 2.47 Bn |
| Jun 30, 2023 | 2.34 Bn |
| Mar 31, 2023 | 2.32 Bn |
| Dec 31, 2022 | 2.11 Bn |
| Sep 30, 2022 | 2.59 Bn |
| Jun 30, 2022 | 3.20 Bn |
| Mar 31, 2022 | 3.74 Bn |
| Dec 31, 2021 | 3.26 Bn |
| Sep 30, 2021 | 3.39 Bn |
API Access
Abbott Laboratories EBITDA 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&ticker=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();