Scientific Industries (SCND) Non-Current Assets (2011 - 2026)
Scientific Industries' Non-Current Assets came in at $1.98 million for Q2 2026, down 34.4% from $3.02 million a year earlier and down 6.4% from the prior quarter.
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Analysis
Scientific Industries (SCND) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Scientific Industries' Non-Current Assets was $2.22 million, down 32.2% from FY2024.
- Non-Current Assets has declined in each of the last three years, though with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $3.27 million in FY2024 (-25.4%), $4.39 million in FY2023 (-13.6%), $5.08 million in FY2022 and $10.58 million in FY2021 (+413.2%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets in data going back to Q4 2022.
- Year-over-year, Non-Current Assets has declined for eight consecutive quarters, with an average decline of 27.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Non-Current Assets ran from 13.6% in Q4 2023 to 34.4% in Q2 2026.
- Business Quant data shows SCND's Non-Current Assets at $2.12 million (Q1 2026), $2.22 million (Q4 2025) and $2.67 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | 1.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Mn |
| Mar 31, 2026 | 2.12 Mn |
| Dec 31, 2025 | 2.22 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 3.02 Mn |
| Mar 31, 2025 | 3.18 Mn |
| Dec 31, 2024 | 3.27 Mn |
| Sep 30, 2024 | 3.65 Mn |
| Jun 30, 2024 | 3.89 Mn |
| Mar 31, 2024 | 4.15 Mn |
| Dec 31, 2023 | 4.39 Mn |
| Sep 30, 2023 | 4.48 Mn |
| Jun 30, 2023 | 4.75 Mn |
| Mar 31, 2023 | 4.89 Mn |
| Dec 31, 2022 | 5.08 Mn |
| Sep 30, 2022 | 13.07 Mn |
| Jun 30, 2022 | 4.74 Mn |
| Mar 31, 2022 | 12.13 Mn |
| Dec 31, 2021 | 12.07 Mn |
| Sep 30, 2021 | 10.75 Mn |
API Access
Scientific Industries Non-Current Assets 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=non-current-assets&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();