Abbott Laboratories (ABT) EBIT (2009 - 2026)
Abbott Laboratories' EBIT came in at $1.69 billion for Q2 2026, down 17.5% from $2.05 billion a year earlier but up 25.9% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Abbott Laboratories reported EBIT of $7.35 billion, down 2.2% year-over-year; for FY2025, it came in at $8.05 billion, up 18.0% from FY2024.
- EBIT carries a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, EBIT was $6.83 billion in FY2024 (+5.4%), $6.48 billion in FY2023 (-22.5%), $8.36 billion in FY2022 (-0.7%) and $8.43 billion in FY2021 (+57.3%).
- The five-year range for quarterly EBIT is $1.3 billion (Q4 2022) to $2.91 billion (Q1 2022).
- Year-over-year, EBIT increased in six of the last eight quarters, with growth averaging 7.0%.
- The fastest year-over-year change in EBIT over five years came in Q2 2022 (growth of 70.7%), and the weakest in Q1 2023 (a decline of 48.2%).
- Business Quant data shows ABT's EBIT at $1.35 billion (Q1 2026), $2.25 billion (Q4 2025) and $2.06 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 2.26 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.36 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 1.25 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 592.60 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.76 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 1.03 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 828.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 299.10 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 500.00 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 444.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.36 Bn |
| Jun 30, 2026 | 1.69 Bn |
| Mar 31, 2026 | 1.35 Bn |
| Dec 31, 2025 | 2.25 Bn |
| Sep 30, 2025 | 2.06 Bn |
| Jun 30, 2025 | 2.05 Bn |
| Mar 31, 2025 | 1.69 Bn |
| Dec 31, 2024 | 1.91 Bn |
| Sep 30, 2024 | 1.86 Bn |
| Jun 30, 2024 | 1.67 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.78 Bn |
| Sep 30, 2023 | 1.65 Bn |
| Jun 30, 2023 | 1.54 Bn |
| Mar 31, 2023 | 1.51 Bn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 30, 2022 | 1.77 Bn |
| Jun 30, 2022 | 2.38 Bn |
| Mar 31, 2022 | 2.91 Bn |
| Dec 31, 2021 | 2.38 Bn |
API Access
Abbott Laboratories EBIT 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=ebit&ticker=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();