Abbott Laboratories (ABT) Total Current Liabilities (2009 - 2026)
Abbott Laboratories' Total Current Liabilities came in at $17.81 billion for Q2 2026, up 32.6% from $13.44 billion a year earlier but down 3.1% from the prior quarter.
Abbott Laboratories (ABT) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Abbott Laboratories' Total Current Liabilities was $16.5 billion, up 16.5% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $14.16 billion in FY2024 (+2.3%), $13.84 billion in FY2023 (-10.6%), $15.49 billion in FY2022 (+18.2%) and $13.11 billion in FY2021 (+10.1%).
- The five-year range for quarterly Total Current Liabilities is $12.39 billion (Q2 2022) to $18.38 billion (Q1 2026).
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 11.9% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2026 (growth of 41.3%), and the weakest in Q4 2023 (a decline of 10.6%).
- Business Quant data shows ABT's Total Current Liabilities at $18.38 billion (Q1 2026), $16.5 billion (Q4 2025) and $14.58 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 2.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.81 Bn |
| Mar 31, 2026 | 18.38 Bn |
| Dec 31, 2025 | 16.50 Bn |
| Sep 30, 2025 | 14.58 Bn |
| Jun 30, 2025 | 13.44 Bn |
| Mar 31, 2025 | 13.00 Bn |
| Dec 31, 2024 | 14.16 Bn |
| Sep 30, 2024 | 14.90 Bn |
| Jun 30, 2024 | 13.76 Bn |
| Mar 31, 2024 | 14.02 Bn |
| Dec 31, 2023 | 13.84 Bn |
| Sep 30, 2023 | 13.04 Bn |
| Jun 30, 2023 | 14.35 Bn |
| Mar 31, 2023 | 14.53 Bn |
| Dec 31, 2022 | 15.49 Bn |
| Sep 30, 2022 | 13.37 Bn |
| Jun 30, 2022 | 12.39 Bn |
| Mar 31, 2022 | 12.65 Bn |
| Dec 31, 2021 | 13.11 Bn |
| Sep 30, 2021 | 12.87 Bn |
Abbott Laboratories Total Current Liabilities 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=total-current-liabilities&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();