Scientific Industries (SCND) Revenue (2010 - 2026)
Scientific Industries (SCND) recorded Revenue of $1.47 million in Q2 2026, up 36.0% from $1.08 million a year earlier and up 19.8% from the prior quarter.
Powered by 
Analysis
Scientific Industries (SCND) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Scientific Industries' Revenue came in at $5.73 million as of Jun 30, 2026, up 23.4% year-over-year; for FY2025, it came in at $5.05 million, up 5.4% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $4.8 million in FY2024 (-56.8%), $11.11 million in FY2023 (+112.1%), $5.24 million in FY2022 and $9.78 million in FY2021 (+25.6%).
- Quarterly Revenue has ranged from $942,300 in Q1 2025 to $3.12 million in Q4 2023 over the past five years.
- On a year-over-year basis, Revenue has increased for four consecutive quarters, with an average decline of 16.3% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 36.0% in Q2 2026, against a decline of 62.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.23 million (Q1 2026), $1.63 million (Q4 2025) and $1.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.74 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.98 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | 1.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.47 Mn |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.63 Mn |
| Sep 30, 2025 | 1.40 Mn |
| Jun 30, 2025 | 1.08 Mn |
| Mar 31, 2025 | 942,300.00 |
| Dec 31, 2024 | 1.28 Mn |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 2.65 Mn |
| Mar 31, 2024 | 2.48 Mn |
| Dec 31, 2023 | 2.87 Mn |
| Sep 30, 2023 | 2.59 Mn |
| Jun 30, 2023 | 2.98 Mn |
| Mar 31, 2023 | 2.81 Mn |
| Sep 30, 2022 | 2.67 Mn |
| Jun 30, 2022 | 2.78 Mn |
| Mar 31, 2022 | 2.86 Mn |
| Dec 31, 2021 | 2.90 Mn |
| Sep 30, 2021 | 2.85 Mn |
| Jun 30, 2021 | 2.53 Mn |
API Access
Scientific Industries Revenue 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=revenue&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();