Scientific Industries (SCND) Return on Sales [ROS] (2010 - 2026)
Scientific Industries (SCND) reported Return on Sales [ROS] of -86.56% for Q2 2026, up 81.75 percentage points from -168.32% a year earlier and up 49.34 percentage points from the prior quarter.
Scientific Industries (SCND) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Scientific Industries' Return on Sales [ROS] came in at -120.77%, up 51.75 percentage points year-over-year; for FY2025, it came in at -156.12%, up 15.16 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -147.59 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -171.28% in FY2024 (-87.94 pp), -83.34% in FY2023 (-4.35 pp), -78.98% in FY2022 and -48.17% in FY2021 (-39.65 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2024.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of -20.62 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2026 (a gain of 85.84 percentage points); the low point was Q1 2025 (a drop of 137.61 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -135.91% (Q1 2026), -150.93% (Q4 2025) and -108.43% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 13.31% |
| 10 | Scientific Industries | 9.30 Mn | -3.86 Mn | 622,700.00 | -86.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -86.56% |
| Mar 31, 2026 | -135.91% |
| Dec 31, 2025 | -150.93% |
| Sep 30, 2025 | -108.43% |
| Jun 30, 2025 | -168.32% |
| Mar 31, 2025 | -221.74% |
| Dec 31, 2024 | -197.32% |
| Sep 30, 2024 | -117.34% |
| Jun 30, 2024 | -50.47% |
| Mar 31, 2024 | -84.14% |
| Dec 31, 2023 | -108.37% |
| Sep 30, 2023 | -86.07% |
| Jun 30, 2023 | -74.64% |
| Mar 31, 2023 | -87.96% |
| Sep 30, 2022 | -63.45% |
| Jun 30, 2022 | -231.64% |
| Mar 31, 2022 | -60.82% |
| Dec 31, 2021 | -63.52% |
| Sep 30, 2021 | -53.40% |
| Jun 30, 2021 | -95.25% |
Scientific Industries Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();