Quanterix (QTRX) Return on Capital Employed [ROCE] (2018 - 2026)
Quanterix's Return on Capital Employed [ROCE] was -52.21% in Q2 2026, down 25.58 percentage points from -26.63% a year earlier and down 11.22 percentage points from the prior quarter.
Quanterix (QTRX) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Quanterix came in at -37.15%, down 23.14 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -19.68 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -14.01% in FY2024 (-2.28 pp), -11.73% in FY2023 (+12.17 pp), -23.90% in FY2022 (-7.72 pp) and -16.18% in FY2021 (+1.30 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q2 2019.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for seven straight quarters, with an average year-over-year change of -13.84 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2023 (a gain of 13.75 percentage points); the worst was Q2 2026 (a drop of 25.58 percentage points).
- Per Business Quant data, QTRX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -41.00% (Q1 2026), -35.20% (Q4 2025) and -34.75% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.00% |
| 10 | Quanterix | 171.57 Mn | -274.26 Mn | 12.67 Mn | -52.21% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -52.21% |
| Mar 31, 2026 | -41.00% |
| Dec 31, 2025 | -35.20% |
| Sep 30, 2025 | -34.75% |
| Jun 30, 2025 | -26.63% |
| Mar 31, 2025 | -17.67% |
| Dec 31, 2024 | -14.35% |
| Sep 30, 2024 | -13.65% |
| Jun 30, 2024 | -13.94% |
| Mar 31, 2024 | -13.01% |
| Dec 31, 2023 | -11.80% |
| Sep 30, 2023 | -13.69% |
| Jun 30, 2023 | -20.01% |
| Mar 31, 2023 | -24.09% |
| Dec 31, 2022 | -25.54% |
| Sep 30, 2022 | -22.98% |
| Jun 30, 2022 | -16.92% |
| Mar 31, 2022 | -13.69% |
| Dec 31, 2021 | -12.05% |
| Sep 30, 2021 | -9.96% |
Quanterix 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=QTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "QTRX", "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=QTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();