Scientific Industries (SCND) Net Long-Term Debt Issued (Repaid) (2012 - 2022)
Scientific Industries' Non-Current Debt came in at $401,100 for FY2021.
Powered by 
Analysis
Scientific Industries (SCND) Net Long-Term Debt Issued (Repaid) (2012 - 2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | -7.00 Mn |
| 10 | Scientific Industries | 6.32 Mn | -16.51 Mn | 742,900.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | -117,700.00 |
| Jun 30, 2020 | 563,800.00 |
| Jun 30, 2019 | -700.00 |
| Mar 31, 2019 | -1,800.00 |
| Dec 31, 2018 | -1,700.00 |
| Sep 30, 2018 | -1,600.00 |
| Jun 30, 2018 | -1,700.00 |
| Mar 31, 2018 | -1,600.00 |
| Dec 31, 2017 | -1,800.00 |
| Sep 30, 2017 | -1,600.00 |
| Jun 30, 2017 | -1,600.00 |
| Mar 31, 2017 | -1,600.00 |
| Dec 31, 2016 | -1,700.00 |
| Sep 30, 2016 | -1,500.00 |
| Jun 30, 2016 | -201,000.00 |
| Dec 31, 2014 | -6,700.00 |
| Sep 30, 2014 | -20,000.00 |
| Jun 30, 2014 | -19,800.00 |
| Mar 31, 2014 | -19,600.00 |
| Dec 31, 2013 | -19,500.00 |
API Access
Scientific Industries Net Long-Term Debt Issued (Repaid) 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-debt&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-debt&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();