Scientific Industries (SCND) Total Liabilities (2011 - 2026)
Scientific Industries (SCND) posted Total Liabilities of $2.03 million for Q2 2026, down 11.7% from $2.3 million a year earlier but up 2.2% from the prior quarter.
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Analysis
Scientific Industries (SCND) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Scientific Industries' Total Liabilities came in at $1.94 million, down 20.3% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- In prior years, Scientific Industries' Total Liabilities was $2.44 million in FY2024 (-14.2%), $2.85 million in FY2023 (-13.2%), $3.28 million in FY2022 and $2.78 million in FY2021 (-9.6%).
- Quarterly Total Liabilities has run from a low of $1.94 million in Q4 2025 to a high of $3.28 million in Q4 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last eight quarters, with an average decline of 16.0% over the last eight quarters.
- The year-over-year decline in Total Liabilities has ranged between 4.3% (Q1 2025) and 29.1% (Q1 2026) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.99 million (Q1 2026), $1.94 million (Q4 2025) and $2.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | 2.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.03 Mn |
| Mar 31, 2026 | 1.99 Mn |
| Dec 31, 2025 | 1.94 Mn |
| Sep 30, 2025 | 2.10 Mn |
| Jun 30, 2025 | 2.30 Mn |
| Mar 31, 2025 | 2.80 Mn |
| Dec 31, 2024 | 2.44 Mn |
| Sep 30, 2024 | 2.37 Mn |
| Jun 30, 2024 | 2.59 Mn |
| Mar 31, 2024 | 2.93 Mn |
| Dec 31, 2023 | 2.85 Mn |
| Sep 30, 2023 | 3.17 Mn |
| Jun 30, 2023 | 2.87 Mn |
| Mar 31, 2023 | 3.30 Mn |
| Dec 31, 2022 | 3.28 Mn |
| Sep 30, 2022 | 11.24 Mn |
| Jun 30, 2022 | 3.47 Mn |
| Mar 31, 2022 | 3.39 Mn |
| Dec 31, 2021 | 3.36 Mn |
| Sep 30, 2021 | 2.49 Mn |
API Access
Scientific Industries Total Liabilities 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=total-liabilities&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();