Baxter International (BAX) Total Current Liabilities (2009 - 2026)
Baxter International's Total Current Liabilities came in at $3.81 billion for Q3 2026, up 0.9% from $3.78 billion a year earlier and up 6.1% from the prior quarter.
Baxter International (BAX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Baxter International's Total Current Liabilities was $2.97 billion, down 54.4% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of -2.3% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $6.51 billion in FY2024 (+0.1%), $6.5 billion in FY2023 (+37.0%), $4.75 billion in FY2022 (+12.0%) and $4.24 billion in FY2021 (+27.1%).
- The Q3 2026 figure represents the highest quarterly Total Current Liabilities since Q4 2024.
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with an average decline of 20.2% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2023 (growth of 67.4%), and the weakest in Q4 2025 (a decline of 54.4%).
- Business Quant data shows BAX's Total Current Liabilities at $3.59 billion (Q2 2026), $3.69 billion (Q1 2026) and $2.97 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 3.13 Bn |
| 10 | Baxter International | 13.66 Bn | 5.52 Bn | 994.00 Mn | 3.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.81 Bn |
| Jun 30, 2026 | 3.59 Bn |
| Mar 31, 2026 | 3.69 Bn |
| Dec 31, 2025 | 2.97 Bn |
| Sep 30, 2025 | 3.78 Bn |
| Jun 30, 2025 | 2.94 Bn |
| Mar 31, 2025 | 3.48 Bn |
| Dec 31, 2024 | 6.51 Bn |
| Sep 30, 2024 | 6.20 Bn |
| Jun 30, 2024 | 6.13 Bn |
| Mar 31, 2024 | 6.37 Bn |
| Dec 31, 2023 | 6.50 Bn |
| Sep 30, 2023 | 6.21 Bn |
| Jun 30, 2023 | 5.77 Bn |
| Mar 31, 2023 | 4.76 Bn |
| Dec 31, 2022 | 4.75 Bn |
| Sep 30, 2022 | 3.71 Bn |
| Jun 30, 2022 | 3.92 Bn |
| Mar 31, 2022 | 3.89 Bn |
| Dec 31, 2021 | 4.24 Bn |
Baxter International 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=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();