Abbott Laboratories (ABT) Long-Term Debt Repayments (2010 - 2026)
Abbott Laboratories (ABT) posted Long-Term Debt Repayments of $1.41 billion for Q2 2026, compared with $1 million a year earlier and down 0.8% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at Abbott Laboratories was $3.32 billion, up 102.1% year-over-year; for FY2025, it came in at $1.5 billion, up 127.9% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In prior years, Abbott Laboratories' Long-Term Debt Repayments was $660 million in FY2024 (-73.6%), $2.5 billion in FY2023 (+231.7%), $753 million in FY2022 and $48 million in FY2021 (-96.4%).
- Quarterly Long-Term Debt Repayments has run from a low of $1 million in Q2 2022 to a high of $1.45 billion in Q3 2023 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in 1 of the last five quarters, with an average decline of 58.4%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2024, with growth of 800.0%; the weakest was Q3 2024, with a decline of 99.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $1.42 billion (Q1 2026), $1 million (Q4 2025) and $501 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | - |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 2.00 Bn |
| 10 | Agilent Technologies | 50.16 Bn | 43.05 Bn | 1.04 Bn | -1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.33 Bn |
| Jun 30, 2026 | 1.41 Bn |
| Mar 31, 2026 | 1.42 Bn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 501.00 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.00 Bn |
| Dec 31, 2024 | 640.00 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Jun 30, 2024 | 18.00 Mn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 1.45 Bn |
| Jun 30, 2023 | 2.00 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 751.00 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Sep 30, 2021 | 40.00 Mn |
| Jun 30, 2021 | 3.00 Mn |
| Mar 31, 2021 | 2.00 Mn |
API Access
Abbott Laboratories Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();