Scientific Industries (SCND) Return on Capital Employed [ROCE] (2011 - 2026)
Scientific Industries' Return on Capital Employed [ROCE] came in at -76.84% for Q2 2026, up 15.15 percentage points from -91.99% a year earlier but down 5.14 percentage points from the prior quarter.
Scientific Industries (SCND) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Scientific Industries' Return on Capital Employed [ROCE] was -73.50%, down 7.23 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -66.40 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -66.27% in FY2024 (+1.68 pp), -67.95% in FY2023 (-44.20 pp), -23.75% in FY2022 and -24.01% in FY2021 (-16.91 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -183.50% (Q3 2023) to -64.47% (Q4 2025).
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +20.86 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2024 (a gain of 117.89 percentage points), and the weakest in Q2 2025 (a drop of 26.14 percentage points).
- Business Quant data shows SCND's Return on Capital Employed [ROCE] at -71.70% (Q1 2026), -64.47% (Q4 2025) and -73.46% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 8.30% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 7.98% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 6.42% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 18.58% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 8.34% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 13.69% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 10.83% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 11.99% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 6.00% |
| 10 | Scientific Industries | 9.30 Mn | -3.86 Mn | 622,700.00 | -76.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -76.84% |
| Mar 31, 2026 | -71.70% |
| Dec 31, 2025 | -64.47% |
| Sep 30, 2025 | -73.46% |
| Jun 30, 2025 | -91.99% |
| Mar 31, 2025 | -84.21% |
| Dec 31, 2024 | -70.39% |
| Sep 30, 2024 | -66.55% |
| Jun 30, 2024 | -66.72% |
| Mar 31, 2024 | -68.53% |
| Dec 31, 2023 | -76.87% |
| Sep 30, 2023 | -75.28% |
| Jun 30, 2023 | -94.49% |
| Mar 31, 2023 | -81.82% |
| Sep 30, 2022 | -51.58% |
| Jun 30, 2022 | -49.05% |
| Mar 31, 2022 | -27.17% |
| Dec 31, 2021 | -28.75% |
| Sep 30, 2021 | -22.66% |
| Jun 30, 2021 | -24.57% |
Scientific Industries 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=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SCND", "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=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();