Scientific Industries (SCND) Inventory (2011 - 2026)
Scientific Industries' Inventory was $1.56 million in Q2 2026, down 64.6% from $4.39 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Scientific Industries (SCND) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Scientific Industries came in at $1.4 million, down 31.9% from FY2024.
- Inventory has now declined for three consecutive years, with a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- In earlier years, Inventory was $2.06 million in FY2024 (-57.8%), $4.88 million in FY2023 (-10.6%), $5.47 million in FY2022 and $2.98 million in FY2021 (+17.2%).
- Quarterly Inventory has moved between $1.4 million (Q4 2025) and $5.48 million (Q1 2024) over five years.
- Compared with a year earlier, Inventory has declined for three straight quarters, with an average decline of 47.8% over the last five quarters.
- Per Business Quant data, SCND's Inventory in the three quarters before Q2 2026 was $1.57 million (Q1 2026), $1.4 million (Q4 2025) and $2.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | 1.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.56 Mn |
| Mar 31, 2026 | 1.57 Mn |
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 2.04 Mn |
| Jun 30, 2025 | 4.39 Mn |
| Mar 31, 2025 | 4.35 Mn |
| Dec 31, 2024 | 2.06 Mn |
| Mar 31, 2024 | 5.48 Mn |
| Dec 31, 2023 | 4.88 Mn |
| Sep 30, 2023 | 5.28 Mn |
| Jun 30, 2023 | 5.95 Mn |
| Mar 31, 2023 | 5.81 Mn |
| Dec 31, 2022 | 5.47 Mn |
| Sep 30, 2022 | 4.96 Mn |
| Jun 30, 2022 | 4.70 Mn |
| Mar 31, 2022 | 4.37 Mn |
| Dec 31, 2021 | 3.62 Mn |
| Sep 30, 2021 | 3.09 Mn |
| Jun 30, 2021 | 2.98 Mn |
| Mar 31, 2021 | 2.89 Mn |
API Access
Scientific Industries Inventory 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=inventory&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();