Allurion Technologies (ALUR) Return on Capital Employed [ROCE] (2023 - 2025)
Allurion Technologies (ALUR) posted Return on Capital Employed [ROCE] of -355.11% for Q3 2025, down 154.89 percentage points from -200.22% a year earlier and down 153.62 percentage points from the prior quarter.
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Analysis
Allurion Technologies (ALUR) Return on Capital Employed [ROCE] (2023 - 2025) Analysis & Trends
For FY2024, Allurion Technologies' Return on Capital Employed [ROCE] came in at -150.30%.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -201.49% (Q2 2025), -233.65% (Q1 2025) and -219.22% (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | 11.59% |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 6.00% |
| 10 | Allurion Technologies | 299,889.71 | -29.03 Mn | 1.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -355.11% |
| Jun 30, 2025 | -201.49% |
| Mar 31, 2025 | -233.65% |
| Dec 31, 2024 | -219.22% |
| Sep 30, 2024 | -200.22% |
| Jun 30, 2024 | -244.48% |
| Dec 31, 2023 | -256.98% |
API Access
Allurion Technologies 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=ALUR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ALUR", "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=ALUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();