Scientific Industries (SCND) Enterprise Value (2010 - 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.
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Analysis
Scientific Industries (SCND) Enterprise Value (2010 - 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn |
| 10 | Scientific Industries | 6.32 Mn | -16.51 Mn | 742,900.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.97 Mn |
| Jun 30, 2026 | 2.37 Mn |
| Mar 31, 2026 | 3.06 Mn |
| Dec 31, 2025 | 20,015.47 |
| Sep 30, 2025 | 56,319.16 |
| Jun 30, 2025 | 6.11 Mn |
| Mar 31, 2025 | 8.72 Mn |
| Dec 31, 2024 | 6.88 Mn |
| Sep 30, 2024 | 10.42 Mn |
| Jun 30, 2024 | 10.53 Mn |
| Mar 31, 2024 | 16.25 Mn |
| Dec 31, 2023 | 18.52 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 |
API Access
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_KEYimport 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();