Standard Biotools (LAB) Return on Capital Employed [ROCE] (2011 - 2026)
Standard Biotools (LAB) reported Return on Capital Employed [ROCE] of -14.18% for Q3 2026, up 11.18 percentage points from -25.36% a year earlier and up 2.38 percentage points from the prior quarter.
Standard Biotools (LAB) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Standard Biotools posted Return on Capital Employed [ROCE] of -22.89%, up 8.84 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of -1.67 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -31.73% in FY2024 (-0.76 pp), -30.97% in FY2023 (+9.20 pp), -40.17% in FY2022 (-13.23 pp) and -26.94% in FY2021 (-5.72 pp).
- The Q3 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2015.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last three quarters, with an average year-over-year change of +4.45 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2026 (a gain of 11.18 percentage points); the low point was Q1 2022 (a drop of 12.22 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at -16.56% (Q2 2026), -17.07% (Q1 2026) and -24.75% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.76% |
| 10 | Standard Biotools | 280.22 Mn | -1.30 Bn | 10.83 Mn | -14.18% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -14.18% |
| Jun 30, 2026 | -16.56% |
| Mar 31, 2026 | -17.07% |
| Dec 31, 2025 | -24.75% |
| Sep 30, 2025 | -25.36% |
| Jun 30, 2025 | -22.42% |
| Mar 31, 2025 | -20.38% |
| Dec 31, 2024 | -24.65% |
| Sep 30, 2024 | -24.11% |
| Jun 30, 2024 | -21.47% |
| Mar 31, 2024 | -28.03% |
| Dec 31, 2023 | -34.53% |
| Sep 30, 2023 | -25.81% |
| Jun 30, 2023 | -26.56% |
| Mar 31, 2023 | -31.23% |
| Dec 31, 2022 | -32.35% |
| Sep 30, 2022 | -27.85% |
| Jun 30, 2022 | -30.90% |
| Mar 31, 2022 | -33.41% |
| Dec 31, 2021 | -29.44% |
Standard Biotools 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=LAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "LAB", "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=LAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();