Baxter International (BAX) Total Non-Current Liabilities (2009 - 2026)
Baxter International (BAX) posted Total Non-Current Liabilities of $12.39 billion for Q2 2026, down 2.1% from $12.66 billion a year earlier and down 1.2% from the prior quarter.
Baxter International (BAX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Baxter International's Total Non-Current Liabilities came in at $12.64 billion, down 28.5% from FY2024.
- Annual Total Non-Current Liabilities has declined for four consecutive years, though with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In prior years, Baxter International's Total Non-Current Liabilities was $17.68 billion in FY2024 (-3.9%), $18.41 billion in FY2023 (-10.4%), $20.54 billion in FY2022 (-6.2%) and $21.91 billion in FY2021 (+127.7%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q3 2021.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last 11 quarters, with an average decline of 16.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 127.7%; the weakest was Q4 2025, with a decline of 28.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $12.54 billion (Q1 2026), $12.64 billion (Q4 2025) and $12.71 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Baxter International | 12.81 Bn | 4.94 Bn | 1.03 Bn | 12.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.39 Bn |
| Mar 31, 2026 | 12.54 Bn |
| Dec 31, 2025 | 12.64 Bn |
| Sep 30, 2025 | 12.71 Bn |
| Jun 30, 2025 | 12.66 Bn |
| Mar 31, 2025 | 13.13 Bn |
| Dec 31, 2024 | 17.68 Bn |
| Sep 30, 2024 | 17.47 Bn |
| Jun 30, 2024 | 17.01 Bn |
| Mar 31, 2024 | 17.90 Bn |
| Dec 31, 2023 | 18.41 Bn |
| Sep 30, 2023 | 20.71 Bn |
| Jun 30, 2023 | 20.63 Bn |
| Mar 31, 2023 | 20.50 Bn |
| Dec 31, 2022 | 20.54 Bn |
| Sep 30, 2022 | 20.32 Bn |
| Jun 30, 2022 | 20.66 Bn |
| Mar 31, 2022 | 21.16 Bn |
| Dec 31, 2021 | 21.91 Bn |
| Sep 30, 2021 | 9.37 Bn |
Baxter International Total Non-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-non-current-liabilities&ticker=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BAX", "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-non-current-liabilities&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();