Abbott Laboratories (ABT) Non-Current Debt (2009 - 2026)
Abbott Laboratories' Non-Current Debt was $29.6 billion in Q2 2026, up 128.9% from $12.93 billion a year earlier but down 0.1% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) Non-Current Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Abbott Laboratories came in at $9.9 billion, down 21.6% from FY2024.
- Non-Current Debt has now declined for five consecutive years, with a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $12.63 billion in FY2024 (-7.2%), $13.6 billion in FY2023 (-6.4%), $14.52 billion in FY2022 (-16.0%) and $17.3 billion in FY2021 (-6.6%).
- Quarterly Non-Current Debt has moved between $9.9 billion (Q4 2025) and $29.64 billion (Q1 2026) over five years.
- Compared with a year earlier, Non-Current Debt was higher in three of the last eight quarters, with growth averaging 26.4%.
- The best year-over-year quarter for Non-Current Debt over five years was Q1 2026 (growth of 132.7%); the worst was Q4 2025 (a decline of 21.6%).
- Per Business Quant data, ABT's Non-Current Debt in the three quarters before Q2 2026 was $29.64 billion (Q1 2026), $9.9 billion (Q4 2025) and $11.6 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.60 Bn |
| Mar 31, 2026 | 29.64 Bn |
| Dec 31, 2025 | 9.90 Bn |
| Sep 30, 2025 | 11.60 Bn |
| Jun 30, 2025 | 12.93 Bn |
| Mar 31, 2025 | 12.74 Bn |
| Dec 31, 2024 | 12.63 Bn |
| Sep 30, 2024 | 12.83 Bn |
| Jun 30, 2024 | 13.14 Bn |
| Mar 31, 2024 | 12.58 Bn |
| Dec 31, 2023 | 13.60 Bn |
| Sep 30, 2023 | 14.48 Bn |
| Jun 30, 2023 | 14.56 Bn |
| Mar 31, 2023 | 14.62 Bn |
| Dec 31, 2022 | 14.52 Bn |
| Sep 30, 2022 | 15.30 Bn |
| Jun 30, 2022 | 16.76 Bn |
| Mar 31, 2022 | 17.09 Bn |
| Dec 31, 2021 | 17.30 Bn |
| Sep 30, 2021 | 17.45 Bn |
API Access
Abbott Laboratories Non-Current Debt 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=non-current-debt&ticker=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();