Scientific Industries (SCND) Short-Term Debt repayments (2014 - 2018)
Scientific Industries (SCND) recorded Short-Term Debt repayments of $50,000 in FY2019, up 25.0% from $40,000 in FY2018.
Analysis
Scientific Industries (SCND) Short-Term Debt repayments (2014 - 2018) Analysis & Trends
Starting with FY2012, Scientific Industries' Short-Term Debt repayments history includes 7 years.
- Annual Short-Term Debt repayments has a five-year compound annual growth rate of -19.7% (FY2014 to FY2019).
- Annual Short-Term Debt repayments has ranged from $40,000 in FY2018 to $970,000 in FY2016 over the past five years.
- Per Business Quant data, SCND's Short-Term Debt repayments was $40,000 in FY2018 (-84.0%), $250,000 in FY2017 (-74.2%), $970,000 in FY2016 (+288.0%) and $250,000 in FY2015 (+66.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (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 | - |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 13.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | - |
| 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 |
|---|---|
| Jun 30, 2018 | 40,000.00 |
| Jun 30, 2016 | 970,000.00 |
| Jun 30, 2015 | 100,000.00 |
| Jun 30, 2014 | 220,000.00 |
API Access
Scientific Industries Short-Term Debt repayments 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=short-term-debt-repayments&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();