Scientific Industries (SCND) Current Debt (2013 - 2023)
Scientific Industries (SCND) reported Current Debt of -$13,300 for Q4 2023, compared with $281,100 a year earlier.
Powered by 
Analysis
Scientific Industries (SCND) Current Debt (2013 - 2023) Analysis & Trends
Over the twelve months ended Dec 31, 2023, Scientific Industries' Current Debt came in at $19,100, down 87.1% year-over-year; for FY2022, it was -$321,700.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 64.00 Mn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.93 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 812.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.68 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | -291.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Scientific Industries | 8.11 Mn | -5.06 Mn | 622,700.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -13,300.00 |
| Dec 31, 2022 | 281,100.00 |
| Mar 31, 2021 | -174,400.00 |
| Dec 31, 2020 | 115,600.00 |
| Sep 30, 2020 | 66,300.00 |
| Mar 31, 2019 | 50,000.00 |
| Jun 30, 2018 | -40,000.00 |
| Dec 31, 2016 | 250,000.00 |
| Jun 30, 2016 | -970,000.00 |
| Mar 31, 2016 | 500,000.00 |
| Dec 31, 2015 | 270,000.00 |
| Sep 30, 2015 | 200,000.00 |
| Jun 30, 2015 | -100,000.00 |
| Dec 31, 2014 | 50,000.00 |
| Sep 30, 2014 | 200,000.00 |
| Jun 30, 2014 | -220,000.00 |
| Mar 31, 2014 | 100,000.00 |
| Dec 31, 2013 | 50,000.00 |
API Access
Scientific Industries Current Debt 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=current-debt&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();