Scientific Industries (SCND) Return on Assets [ROA] (2011 - 2026)
Scientific Industries (SCND) posted Return on Assets [ROA] of -7.04% for Q2 2026, up 63.13 percentage points from -70.17% a year earlier and up 1.70 percentage points from the prior quarter.
Scientific Industries (SCND) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Scientific Industries' Return on Assets [ROA] came in at -14.73%, up 41.99 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -8.64 percentage points (FY2020 to FY2025).
- In prior years, Scientific Industries' Return on Assets [ROA] was -56.72% in FY2024 (+2.03 pp), -58.75% in FY2023 (-37.88 pp), -20.88% in FY2022 and -16.77% in FY2021 (-10.67 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Assets [ROA] in data going back to Q3 2023.
- On a year-over-year basis, Return on Assets [ROA] has increased in each of the last four quarters, with an average year-over-year change of +52.63 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q3 2024, with a gain of 148.19 percentage points; the weakest was Q2 2025, with a drop of 13.23 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -8.74% (Q1 2026), -9.02% (Q4 2025) and -14.68% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 6.17% |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.94% |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 4.54% |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 15.41% |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 5.66% |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | -1.94% |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 8.19% |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 7.38% |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.85% |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | -7.04% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.04% |
| Mar 31, 2026 | -8.74% |
| Dec 31, 2025 | -9.02% |
| Sep 30, 2025 | -14.68% |
| Jun 30, 2025 | -70.17% |
| Mar 31, 2025 | -63.77% |
| Dec 31, 2024 | -58.95% |
| Sep 30, 2024 | -55.88% |
| Jun 30, 2024 | -56.47% |
| Mar 31, 2024 | -58.42% |
| Dec 31, 2023 | -65.47% |
| Sep 30, 2023 | -62.92% |
| Jun 30, 2023 | -107.31% |
| Mar 31, 2023 | -90.86% |
| Sep 30, 2022 | -58.33% |
| Jun 30, 2022 | -53.04% |
| Mar 31, 2022 | -16.85% |
| Dec 31, 2021 | -17.18% |
| Sep 30, 2021 | -12.83% |
| Jun 30, 2021 | -12.70% |
Scientific Industries Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();