Scientific Industries (SCND) Short-Term Debt issuances (2013 - 2019)
Scientific Industries' Short-Term Debt issuances came in at $50,000 for FY2019, up 25.0% from $40,000 in FY2018.
Analysis
Scientific Industries (SCND) Short-Term Debt issuances (2013 - 2019) Analysis & Trends
Going back to FY2012, Scientific Industries' Short-Term Debt issuances data covers 7 years.
- Short-Term Debt issuances carries a five-year compound annual growth rate of -19.7% (FY2014 to FY2019).
- The five-year range for annual Short-Term Debt issuances is $40,000 (FY2018) to $970,000 (FY2016).
- Per Business Quant, earlier years put Short-Term Debt issuances at $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 Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.58 Bn | 231.61 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 177.91 Bn | 148.34 Bn | 7.27 Bn | - |
| 3 | Danaher | 163.81 Bn | 147.62 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.22 Bn | 135.64 Bn | 1.96 Bn | - |
| 5 | Medtronic | 122.73 Bn | 87.98 Bn | 6.34 Bn | - |
| 6 | Stryker | 118.55 Bn | 104.67 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.29 Bn | 62.06 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.69 Bn | 51.84 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.62 Bn | 35.63 Bn | 1.35 Bn | - |
| 10 | Scientific Industries | 8.11 Mn | -5.06 Mn | 622,700.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 50,000.00 |
| Dec 31, 2016 | 250,000.00 |
| Mar 31, 2016 | 500,000.00 |
| Dec 31, 2015 | 270,000.00 |
| Sep 30, 2015 | 200,000.00 |
| Dec 31, 2014 | 50,000.00 |
| Sep 30, 2014 | 200,000.00 |
| Mar 31, 2014 | 100,000.00 |
| Dec 31, 2013 | 50,000.00 |
API Access
Scientific Industries Short-Term Debt issuances 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-issuances&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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-issuances&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();