Scientific Industries (SCND) Property, Plant & Equipment (Net) (2011 - 2026)
Scientific Industries (SCND) posted Property, Plant & Equipment (Net) of $604,400 for Q2 2026, down 33.3% from $906,600 a year earlier and down 5.2% from the prior quarter.
Scientific Industries (SCND) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Scientific Industries' Property, Plant & Equipment (Net) came in at $690,900, down 13.2% from FY2024.
- Annual Property, Plant & Equipment (Net) has declined for three consecutive years, though with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- In prior years, Scientific Industries' Property, Plant & Equipment (Net) was $796,300 in FY2024 (-26.4%), $1.08 million in FY2023 (-7.0%), $1.16 million in FY2022 and $412,600 in FY2021 (+48.3%).
- The Q2 2026 figure stands as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2022.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined in each of the last eight quarters, with an average decline of 19.8% over the last eight quarters.
- The year-over-year decline in Property, Plant & Equipment (Net) has ranged between 7.0% (Q4 2023) and 33.3% (Q2 2026) over the last five years.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $637,600 (Q1 2026), $690,900 (Q4 2025) and $765,600 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Scientific Industries | 9.30 Mn | -3.86 Mn | 622,700.00 | 604,400.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 604,400.00 |
| Mar 31, 2026 | 637,600.00 |
| Dec 31, 2025 | 690,900.00 |
| Sep 30, 2025 | 765,600.00 |
| Jun 30, 2025 | 906,600.00 |
| Mar 31, 2025 | 899,400.00 |
| Dec 31, 2024 | 796,300.00 |
| Sep 30, 2024 | 970,500.00 |
| Jun 30, 2024 | 999,800.00 |
| Mar 31, 2024 | 1.05 Mn |
| Dec 31, 2023 | 1.08 Mn |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 1.07 Mn |
| Jun 30, 2022 | 1.01 Mn |
| Mar 31, 2022 | 566,900.00 |
| Dec 31, 2021 | 522,600.00 |
| Sep 30, 2021 | 435,300.00 |
Scientific Industries Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();