Baxter International (BAX) Accumulated Expenses (2009 - 2026)
Baxter International (BAX) recorded Accumulated Expenses of $1.94 billion in Q3 2026, down 6.1% from $2.07 billion a year earlier but up 13.3% from the prior quarter.
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Analysis
Baxter International (BAX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Baxter International reported Accumulated Expenses of $1.97 billion, up 5.7% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $1.86 billion in FY2024 (-2.8%), $1.92 billion in FY2023 (-11.8%), $2.17 billion in FY2022 (-12.5%) and $2.48 billion in FY2021 (+31.6%).
- Quarterly Accumulated Expenses has ranged from $1.71 billion in Q2 2026 to $2.54 billion in Q3 2023 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 31.6% in Q4 2021, against a decline of 30.2% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.71 billion (Q2 2026), $1.77 billion (Q1 2026) and $1.97 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Baxter International | 13.66 Bn | 5.52 Bn | 994.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.94 Bn |
| Jun 30, 2026 | 1.71 Bn |
| Mar 31, 2026 | 1.77 Bn |
| Dec 31, 2025 | 1.97 Bn |
| Sep 30, 2025 | 2.07 Bn |
| Jun 30, 2025 | 1.94 Bn |
| Mar 31, 2025 | 1.86 Bn |
| Dec 31, 2024 | 1.86 Bn |
| Sep 30, 2024 | 1.77 Bn |
| Jun 30, 2024 | 2.41 Bn |
| Mar 31, 2024 | 2.40 Bn |
| Dec 31, 2023 | 1.92 Bn |
| Sep 30, 2023 | 2.54 Bn |
| Jun 30, 2023 | 2.28 Bn |
| Mar 31, 2023 | 2.32 Bn |
| Dec 31, 2022 | 2.17 Bn |
| Sep 30, 2022 | 2.20 Bn |
| Jun 30, 2022 | 2.23 Bn |
| Mar 31, 2022 | 2.26 Bn |
| Dec 31, 2021 | 2.48 Bn |
API Access
Baxter International Accumulated 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=accumulated-expenses&ticker=BAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();