Scientific Industries (SCND) Operating Expenses (2010 - 2026)
Scientific Industries (SCND) reported Operating Expenses of $1.9 million for Q2 2026, down 13.7% from $2.2 million a year earlier and down 11.3% from the prior quarter.
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Analysis
Scientific Industries (SCND) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Scientific Industries' Operating Expenses came in at $8.59 million, down 12.9% year-over-year; for FY2025, it was $9.19 million, down 10.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $10.22 million in FY2024 (-28.8%), $14.36 million in FY2023 (+122.5%), $6.46 million in FY2022 and $9.68 million in FY2021 (+110.5%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses in data going back to Q3 2023.
- Year over year, Operating Expenses has now declined in each of the last eight quarters, with an average decline of 19.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Operating Expenses ranged from 3.8% (Q3 2025) to 34.1% (Q3 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.14 million (Q1 2026), $2.4 million (Q4 2025) and $2.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | 1.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.90 Mn |
| Mar 31, 2026 | 2.14 Mn |
| Dec 31, 2025 | 2.40 Mn |
| Sep 30, 2025 | 2.16 Mn |
| Jun 30, 2025 | 2.20 Mn |
| Mar 31, 2025 | 2.43 Mn |
| Dec 31, 2024 | 2.99 Mn |
| Sep 30, 2024 | 2.25 Mn |
| Jun 30, 2024 | 2.63 Mn |
| Mar 31, 2024 | 3.13 Mn |
| Dec 31, 2023 | 4.34 Mn |
| Sep 30, 2023 | 3.41 Mn |
| Jun 30, 2023 | 3.58 Mn |
| Mar 31, 2023 | 3.81 Mn |
| Sep 30, 2022 | 3.04 Mn |
| Jun 30, 2022 | 7.70 Mn |
| Mar 31, 2022 | 3.29 Mn |
| Dec 31, 2021 | 3.25 Mn |
| Sep 30, 2021 | 3.04 Mn |
| Jun 30, 2021 | 3.56 Mn |
API Access
Scientific Industries Operating Expenses 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=operating-expenses&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();