Biolife Solutions (BLFS) Return on Capital Employed [ROCE] (2011 - 2026)
Biolife Solutions (BLFS) posted Return on Capital Employed [ROCE] of 0.73% for Q2 2026, up 5.27 percentage points from -4.55% a year earlier and up 4.58 percentage points from the prior quarter.
Biolife Solutions (BLFS) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Biolife Solutions' Return on Capital Employed [ROCE] came in at -4.37%, down 3.17 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -0.16 percentage points (FY2020 to FY2025).
- In prior years, Biolife Solutions' Return on Capital Employed [ROCE] was -1.20% in FY2024 (+3.22 pp), -4.42% in FY2023 (-3.13 pp), -1.29% in FY2022 (+8.70 pp) and -9.99% in FY2021 (-5.78 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in three of the last eight quarters, with an average year-over-year change of -1.89 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2023, with a gain of 39.48 percentage points; the weakest was Q3 2022, with a drop of 21.76 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -3.85% (Q1 2026), -4.09% (Q4 2025) and -4.46% (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 | Biolife Solutions | 1.82 Bn | 1.49 Bn | 18.29 Mn | 0.73% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.73% |
| Mar 31, 2026 | -3.85% |
| Dec 31, 2025 | -4.09% |
| Sep 30, 2025 | -4.46% |
| Jun 30, 2025 | -4.55% |
| Mar 31, 2025 | -0.45% |
| Dec 31, 2024 | -1.25% |
| Sep 30, 2024 | 3.61% |
| Jun 30, 2024 | -0.71% |
| Mar 31, 2024 | -3.22% |
| Dec 31, 2023 | -6.00% |
| Sep 30, 2023 | 13.34% |
| Jun 30, 2023 | 13.59% |
| Mar 31, 2023 | -2.88% |
| Dec 31, 2022 | -1.40% |
| Sep 30, 2022 | -26.14% |
| Jun 30, 2022 | -24.23% |
| Mar 31, 2022 | -8.24% |
| Dec 31, 2021 | -6.84% |
| Sep 30, 2021 | -4.38% |
Biolife Solutions 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=BLFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "BLFS", "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=BLFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();