Baxter International (BAX) Return on Capital Employed [ROCE] (2009 - 2026)
Baxter International's Return on Capital Employed [ROCE] came in at -1.40% for Q3 2026, down 4.92 percentage points from 3.52% a year earlier but up 0.29 percentage points from the prior quarter.
Baxter International (BAX) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Baxter International's Return on Capital Employed [ROCE] was -1.54%, down 1.61 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -11.79 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 0.07% in FY2024 (-3.18 pp), 3.25% in FY2023 (+14.12 pp), -10.88% in FY2022 (-16.87 pp) and 5.99% in FY2021 (-4.25 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -13.80% (Q2 2023) to 6.02% (Q4 2021).
- Year-over-year, Return on Capital Employed [ROCE] has declined for three consecutive quarters, with an average year-over-year change of -4.48 percentage points over the last four quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q1 2024 (a gain of 15.43 percentage points), and the weakest in Q3 2022 (a drop of 19.91 percentage points).
- Business Quant data shows BAX's Return on Capital Employed [ROCE] at -1.69% (Q2 2026), -1.85% (Q1 2026) and -1.75% (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.76% |
| 10 | Baxter International | 13.66 Bn | 5.52 Bn | 994.00 Mn | -1.40% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.40% |
| Jun 30, 2026 | -1.69% |
| Mar 31, 2026 | -1.85% |
| Dec 31, 2025 | -1.75% |
| Sep 30, 2025 | -0.08% |
| Jun 30, 2025 | -0.17% |
| Mar 31, 2025 | -0.21% |
| Dec 31, 2024 | 0.44% |
| Sep 30, 2024 | 5.75% |
| Jun 30, 2024 | 4.59% |
| Mar 31, 2024 | 3.53% |
| Dec 31, 2023 | 3.08% |
| Sep 30, 2023 | -1.09% |
| Jun 30, 2023 | -13.80% |
| Mar 31, 2023 | -11.90% |
| Dec 31, 2022 | -11.83% |
| Sep 30, 2022 | -9.28% |
| Jun 30, 2022 | 3.40% |
| Mar 31, 2022 | 3.84% |
| Dec 31, 2021 | 6.02% |
Baxter International Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();