Abbott Laboratories (ABT) Interest Expenses (2009 - 2026)
Abbott Laboratories (ABT) reported Interest Expenses of $351 million for Q2 2026, up 190.1% from $121 million a year earlier and up 101.7% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Abbott Laboratories' Interest Expenses came in at $766 million, up 44.5% year-over-year; for FY2025, it was $493 million, down 11.8% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- By year, Interest Expenses came in at $559 million in FY2024 (-12.2%), $637 million in FY2023 (+14.2%), $558 million in FY2022 (+4.7%) and $533 million in FY2021 (-2.4%).
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses in data going back to Q2 2009.
- Year over year, Interest Expenses gained in two of the last eight quarters, with growth averaging 18.3%.
- The high point for year-over-year Interest Expenses in five years was Q2 2026 (growth of 190.1%); the low point was Q3 2025 (a decline of 14.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $174 million (Q1 2026), $120 million (Q4 2025) and $121 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | 29.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351.00 Mn |
| Mar 31, 2026 | 174.00 Mn |
| Dec 31, 2025 | 120.00 Mn |
| Sep 30, 2025 | 121.00 Mn |
| Jun 30, 2025 | 121.00 Mn |
| Mar 31, 2025 | 131.00 Mn |
| Dec 31, 2024 | 136.00 Mn |
| Sep 30, 2024 | 142.00 Mn |
| Jun 30, 2024 | 140.00 Mn |
| Mar 31, 2024 | 141.00 Mn |
| Dec 31, 2023 | 159.00 Mn |
| Sep 30, 2023 | 166.00 Mn |
| Jun 30, 2023 | 159.00 Mn |
| Mar 31, 2023 | 153.00 Mn |
| Dec 31, 2022 | 154.00 Mn |
| Sep 30, 2022 | 141.00 Mn |
| Jun 30, 2022 | 132.00 Mn |
| Mar 31, 2022 | 131.00 Mn |
| Dec 31, 2021 | 131.00 Mn |
| Sep 30, 2021 | 133.00 Mn |
API Access
Abbott Laboratories Interest Expenses 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=interest-expenses&ticker=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();