Baxter International (BAX) Cost of Revenue (2009 - 2026)
Baxter International's Cost of Revenue was $1.98 billion in Q3 2026, up 5.1% from $1.89 billion a year earlier and up 2.8% from the prior quarter.
Baxter International (BAX) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Baxter International's Cost of Revenue was $8.12 billion through Sep 30, 2026, up 11.8% year-over-year; for FY2025, it was $7.87 billion, up 18.2% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $6.65 billion in FY2024 (+7.1%), $6.21 billion in FY2023 (-4.6%), $6.51 billion in FY2022 (-12.4%) and $7.43 billion in FY2021 (+4.8%).
- Quarterly Cost of Revenue has moved between -$1.22 billion (Q4 2023) and $2.6 billion (Q2 2023) over five years.
- Compared with a year earlier, Cost of Revenue has increased for six straight quarters, with growth averaging 7.1% over the last seven quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2022 (growth of 34.6%); the worst was Q2 2024 (a decline of 35.9%).
- Per Business Quant data, BAX's Cost of Revenue in the three quarters before Q3 2026 was $1.93 billion (Q2 2026), $1.81 billion (Q1 2026) and $2.4 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 5.93 Bn |
| 10 | Baxter International | 13.66 Bn | 5.52 Bn | 994.00 Mn | 1.98 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.98 Bn |
| Jun 30, 2026 | 1.93 Bn |
| Mar 31, 2026 | 1.81 Bn |
| Dec 31, 2025 | 2.40 Bn |
| Sep 30, 2025 | 1.89 Bn |
| Jun 30, 2025 | 1.82 Bn |
| Mar 31, 2025 | 1.76 Bn |
| Dec 31, 2024 | 1.79 Bn |
| Sep 30, 2024 | 1.67 Bn |
| Jun 30, 2024 | 1.66 Bn |
| Mar 31, 2024 | 2.21 Bn |
| Dec 31, 2023 | -1.22 Bn |
| Sep 30, 2023 | 2.59 Bn |
| Jun 30, 2023 | 2.60 Bn |
| Mar 31, 2023 | 2.24 Bn |
| Dec 31, 2022 | -575.00 Mn |
| Sep 30, 2022 | 2.56 Bn |
| Jun 30, 2022 | 2.22 Bn |
| Mar 31, 2022 | 2.36 Bn |
| Dec 31, 2021 | 1.86 Bn |
Baxter International Cost of Revenue 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=cost-of-revenue&ticker=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();