Baxter International (BAX) Return on Sales [ROS] (2009 - 2026)
Baxter International's Return on Sales [ROS] came in at 7.56% for Q3 2026, up 1.49 percentage points from 6.07% a year earlier and up 0.23 percentage points from the prior quarter.
Baxter International (BAX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Baxter International reported Return on Sales [ROS] of -1.90%, down 7.42 percentage points year-over-year; for FY2025, it came in at -2.74%, down 2.87 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -16.58 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 0.13% in FY2024 (-6.69 pp), 6.82% in FY2023 (+35.11 pp), -28.29% in FY2022 (-39.40 pp) and 11.11% in FY2021 (-2.73 pp).
- The Q3 2026 figure represents the highest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -0.76 percentage points over the last four quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 77.84 percentage points), and the weakest in Q3 2022 (a drop of 95.70 percentage points).
- Business Quant data shows BAX's Return on Sales [ROS] at 7.33% (Q2 2026), 2.44% (Q1 2026) and -24.51% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 18.65% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 10.44% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 19.00% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 15.86% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 16.12% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 17.44% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 6.36% |
| 10 | Baxter International | 13.66 Bn | 5.52 Bn | 994.00 Mn | 7.56% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.56% |
| Jun 30, 2026 | 7.33% |
| Mar 31, 2026 | 2.44% |
| Dec 31, 2025 | -24.51% |
| Sep 30, 2025 | 6.07% |
| Jun 30, 2025 | 6.80% |
| Mar 31, 2025 | 2.21% |
| Dec 31, 2024 | -15.80% |
| Sep 30, 2024 | 5.74% |
| Jun 30, 2024 | 6.64% |
| Mar 31, 2024 | 7.51% |
| Dec 31, 2023 | 23.67% |
| Sep 30, 2023 | -1.96% |
| Jun 30, 2023 | -0.66% |
| Mar 31, 2023 | 5.28% |
| Dec 31, 2022 | -8.33% |
| Sep 30, 2022 | -79.80% |
| Jun 30, 2022 | 7.35% |
| Mar 31, 2022 | 4.58% |
| Dec 31, 2021 | 0.80% |
Baxter International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();