Scientific Industries (SCND) Enterprise Value (2011 - 2026)
Scientific Industries' Enterprise Value was $2.37 million in Q2 2026, down 63.6% from $6.5 million a year earlier and down 70.0% from the prior quarter.
Scientific Industries (SCND) Enterprise Value (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Scientific Industries' Enterprise Value was -$6.25 million through Jun 30, 2026; for FY2025, it came in at $20,015, down 99.8% from FY2024.
- Enterprise Value has now declined for three consecutive years, with a five-year compound annual growth rate of -66.6% (FY2020 to FY2025).
- In earlier years, Enterprise Value was $8.87 million in FY2024 (-62.2%), $23.45 million in FY2023 (-27.4%), $32.32 million in FY2022 and $20.8 million in FY2021 (+330.3%).
- Quarterly Enterprise Value has moved between $20,015 (Q4 2025) and $32.32 million (Q4 2022) over five years.
- Compared with a year earlier, Enterprise Value has declined for eight straight quarters, with an average decline of 55.8% over the last eight quarters.
- Over the past five years, the year-over-year decline in Enterprise Value ranged from 16.8% (Q1 2026) to 99.8% (Q4 2025).
- Per Business Quant data, SCND's Enterprise Value in the three quarters before Q2 2026 was $7.91 million (Q1 2026), $20,015 (Q4 2025) and $7.19 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.37 Mn |
| Mar 31, 2026 | 7.91 Mn |
| Dec 31, 2025 | 20,015.47 |
| Sep 30, 2025 | 7.19 Mn |
| Jun 30, 2025 | 6.50 Mn |
| Mar 31, 2025 | 9.51 Mn |
| Dec 31, 2024 | 8.87 Mn |
| Sep 30, 2024 | 12.88 Mn |
| Jun 30, 2024 | 13.83 Mn |
| Mar 31, 2024 | 20.66 Mn |
| Dec 31, 2023 | 23.45 Mn |
| Sep 30, 2023 | 27.32 Mn |
| Jun 30, 2023 | 33.72 Mn |
| Mar 31, 2023 | 30.91 Mn |
| Dec 31, 2022 | 32.32 Mn |
| Sep 30, 2022 | 31.59 Mn |
| Jun 30, 2022 | 27.06 Mn |
| Mar 31, 2022 | 30.18 Mn |
| Dec 31, 2021 | 27.58 Mn |
| Sep 30, 2021 | 24.99 Mn |
Scientific Industries Enterprise Value 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=enterprise-value&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();