Baxter International (BAX) Operating Expenses (2009 - 2026)
Baxter International (BAX) posted Operating Expenses of $864 million for Q2 2026, up 1.4% from $852 million a year earlier but down 0.3% from the prior quarter.
Baxter International (BAX) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Baxter International was $3.43 billion, up 17.6% year-over-year; for FY2025, it came in at $3.41 billion, down 4.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, Baxter International's Operating Expenses was $3.56 billion in FY2024 (+2.5%), $3.47 billion in FY2023 (-2.1%), $3.55 billion in FY2022 (+5.1%) and $3.38 billion in FY2021 (+12.9%).
- Quarterly Operating Expenses has run from a low of $15 million in Q4 2023 to a high of $1.2 billion in Q1 2024 over five years.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 59.2%; the weakest was Q4 2023, with a decline of 89.4%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Baxter International | 12.41 Bn | 4.52 Bn | 1.03 Bn | 864.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 864.00 Mn |
| Mar 31, 2026 | 867.00 Mn |
| Jun 30, 2025 | 852.00 Mn |
| Mar 31, 2025 | 843.00 Mn |
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | 15.00 Mn |
| Sep 30, 2023 | 1.17 Bn |
| Jun 30, 2023 | 1.13 Bn |
| Mar 31, 2023 | 1.16 Bn |
| Dec 31, 2022 | 141.00 Mn |
| Sep 30, 2022 | 1.09 Bn |
| Jun 30, 2022 | 1.12 Bn |
| Mar 31, 2022 | 1.20 Bn |
| Dec 31, 2021 | 998.00 Mn |
| Sep 30, 2021 | 809.00 Mn |
| Jun 30, 2021 | 814.00 Mn |
| Mar 31, 2021 | 755.00 Mn |
| Dec 31, 2020 | 785.00 Mn |
| Sep 30, 2020 | 724.00 Mn |
| Jun 30, 2020 | 707.00 Mn |
Baxter International 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=operating-expenses&ticker=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();