Baxter International (BAX) Change in Accured Expenses (2009 - 2026)
Baxter International (BAX) reported Change in Accured Expenses of $29 million for Q2 2026, up 262.5% from $8 million a year earlier but down 85.7% from the prior quarter.
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Analysis
Baxter International (BAX) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Baxter International's Change in Accured Expenses came in at $230 million; for FY2025, it was $149 million, up 238.6% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at $44 million in FY2024 (-85.0%), $293 million in FY2023, -$158 million in FY2022 and $207 million in FY2021 (+140.7%).
- Five-year quarterly Change in Accured Expenses spans a low of -$396 million in Q4 2022 and a high of $554 million in Q4 2023.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 44.4%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $203 million (Q1 2026), $180 million (Q4 2025) and -$182 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Baxter International | 12.14 Bn | 4.25 Bn | 1.03 Bn | 29.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.00 Mn |
| Mar 31, 2026 | 203.00 Mn |
| Dec 31, 2025 | 180.00 Mn |
| Sep 30, 2025 | -182.00 Mn |
| Jun 30, 2025 | 8.00 Mn |
| Mar 31, 2025 | 143.00 Mn |
| Dec 31, 2024 | -148.00 Mn |
| Sep 30, 2024 | -107.00 Mn |
| Jun 30, 2024 | 59.00 Mn |
| Mar 31, 2024 | 240.00 Mn |
| Dec 31, 2023 | 554.00 Mn |
| Sep 30, 2023 | -101.00 Mn |
| Jun 30, 2023 | -41.00 Mn |
| Mar 31, 2023 | -119.00 Mn |
| Dec 31, 2022 | -396.00 Mn |
| Sep 30, 2022 | 34.00 Mn |
| Jun 30, 2022 | -17.00 Mn |
| Mar 31, 2022 | 221.00 Mn |
| Dec 31, 2021 | 298.00 Mn |
| Sep 30, 2021 | -100.00 Mn |
API Access
Baxter International Change in Accured Expenses 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-accured-expenses&ticker=BAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();