Baxter International (BAX) Total Liabilities (2009 - 2026)
Baxter International's Total Liabilities was $13.59 billion in Q2 2026, down 1.2% from $13.75 billion a year earlier and down 1.8% from the prior quarter.
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Analysis
Baxter International (BAX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Baxter International came in at $13.93 billion, down 25.8% from FY2024.
- Total Liabilities has now declined for four consecutive years, though with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $18.76 billion in FY2024 (-5.3%), $19.81 billion in FY2023 (-11.5%), $22.39 billion in FY2022 (-8.2%) and $24.4 billion in FY2021 (+116.1%).
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q3 2021.
- Compared with a year earlier, Total Liabilities has declined for 11 straight quarters, with an average decline of 16.4% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2021 (growth of 116.1%); the worst was Q1 2025 (a decline of 27.1%).
- Per Business Quant data, BAX's Total Liabilities in the three quarters before Q2 2026 was $13.83 billion (Q1 2026), $13.93 billion (Q4 2025) and $13.83 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Baxter International | 12.41 Bn | 4.52 Bn | 1.03 Bn | 13.59 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.59 Bn |
| Mar 31, 2026 | 13.83 Bn |
| Dec 31, 2025 | 13.93 Bn |
| Sep 30, 2025 | 13.83 Bn |
| Jun 30, 2025 | 13.75 Bn |
| Mar 31, 2025 | 14.25 Bn |
| Dec 31, 2024 | 18.76 Bn |
| Sep 30, 2024 | 18.73 Bn |
| Jun 30, 2024 | 18.60 Bn |
| Mar 31, 2024 | 19.55 Bn |
| Dec 31, 2023 | 19.81 Bn |
| Sep 30, 2023 | 22.49 Bn |
| Jun 30, 2023 | 22.25 Bn |
| Mar 31, 2023 | 22.35 Bn |
| Dec 31, 2022 | 22.39 Bn |
| Sep 30, 2022 | 22.39 Bn |
| Jun 30, 2022 | 22.93 Bn |
| Mar 31, 2022 | 23.60 Bn |
| Dec 31, 2021 | 24.40 Bn |
| Sep 30, 2021 | 10.99 Bn |
API Access
Baxter International Total 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-liabilities&ticker=BAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();