Baxter International (BAX) Change in Inventory (2009 - 2026)
Baxter International's Change in Inventory was -$59 million in Q2 2026, compared with $157 million a year earlier.
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Analysis
Baxter International (BAX) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Baxter International's Change in Inventory was -$124 million through Jun 30, 2026; for FY2025, it came in at $119 million, down 40.8% from FY2024.
- Change in Inventory shows a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- In earlier years, Change in Inventory was $201 million in FY2024 (+57.0%), $128 million in FY2023 (-35.4%), $198 million in FY2022 (+633.3%) and $27 million in FY2021 (-83.3%).
- Quarterly Change in Inventory has moved between -$241 million (Q4 2025) and $191 million (Q2 2022) over five years.
- Compared with a year earlier, Change in Inventory was higher in three of the last five quarters, with growth averaging 303.7%.
- The best year-over-year quarter for Change in Inventory over five years was Q3 2025 (growth of 912.5%); the worst was Q2 2023 (a decline of 75.9%).
- Per Business Quant data, BAX's Change in Inventory in the three quarters before Q2 2026 was $95 million (Q1 2026), -$241 million (Q4 2025) and $81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Baxter International | 12.41 Bn | 4.52 Bn | 1.03 Bn | -59.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -59.00 Mn |
| Mar 31, 2026 | 95.00 Mn |
| Dec 31, 2025 | -241.00 Mn |
| Sep 30, 2025 | 81.00 Mn |
| Jun 30, 2025 | 157.00 Mn |
| Mar 31, 2025 | 122.00 Mn |
| Dec 31, 2024 | 21.00 Mn |
| Sep 30, 2024 | 8.00 Mn |
| Jun 30, 2024 | 27.00 Mn |
| Mar 31, 2024 | 145.00 Mn |
| Dec 31, 2023 | 8.00 Mn |
| Sep 30, 2023 | -89.00 Mn |
| Jun 30, 2023 | 46.00 Mn |
| Mar 31, 2023 | 163.00 Mn |
| Dec 31, 2022 | -207.00 Mn |
| Sep 30, 2022 | 109.00 Mn |
| Jun 30, 2022 | 191.00 Mn |
| Mar 31, 2022 | 105.00 Mn |
| Dec 31, 2021 | -122.00 Mn |
| Sep 30, 2021 | -6.00 Mn |
API Access
Baxter International Change in Inventory 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=change-in-inventory&ticker=BAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();