Baxter International (BAX) Other Operating Expenses (2011 - 2026)
Baxter International (BAX) posted Other Operating Expenses of $72 million for Q3 2026, down 39.0% from $118 million a year earlier and down 44.2% from the prior quarter.
Baxter International (BAX) Other Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Other Operating Expenses at Baxter International was $5 million, down 99.1% year-over-year; for FY2025, it was $33 million, down 80.0% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -42.0% (FY2020 to FY2025).
- In prior years, Baxter International's Other Operating Expenses was $165 million in FY2024 (-68.8%), $529 million in FY2023, -$2.36 billion in FY2022 and $520 million in FY2021 (+3.2%).
- Quarterly Other Operating Expenses has run from a low of -$2.64 billion in Q3 2022 to a high of $176 million in Q1 2024 over five years.
- On a year-over-year basis, Other Operating Expenses increased in 1 of the last four quarters, with an average decline of 14.1%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q1 2026, with growth of 17.8%; the weakest was Q3 2026, with a decline of 39.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $129 million (Q2 2026), $139 million (Q1 2026) and -$335 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.00 Mn |
| Jun 30, 2026 | 49.00 Mn |
| Mar 31, 2026 | 42.00 Mn |
| Dec 31, 2025 | 66.00 Mn |
| Sep 30, 2025 | 48.00 Mn |
| Jun 30, 2025 | 52.00 Mn |
| Mar 31, 2025 | 40.00 Mn |
| Dec 31, 2024 | 21.00 Mn |
| Sep 30, 2024 | -5.00 Mn |
| Jun 30, 2024 | -1.00 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 14.00 Mn |
| Jun 30, 2023 | 1.00 Mn |
| Mar 31, 2023 | 13.00 Mn |
| Dec 31, 2022 | -15.00 Mn |
| Sep 30, 2022 | -48.00 Mn |
| Jun 30, 2022 | 11.00 Mn |
| Mar 31, 2022 | 17.00 Mn |
| Sep 30, 2021 | 1.00 Mn |
| Jun 30, 2021 | 5.00 Mn |
Baxter International Other Operating 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=other-operating-expenses&ticker=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();