Scientific Industries (SCND) Debt Ratio (2011 - 2023)
Scientific Industries' (SCND) Debt Ratio came in at 0.01 for FY2021, down 73.0% from 0.04 in FY2020.
Analysis
Scientific Industries (SCND) Debt Ratio (2011 - 2023) Analysis & Trends
Since FY2012, Scientific Industries has reported Debt Ratio for 10 years.
- The FY2021 figure stands as the lowest annual Debt Ratio since FY2018.
- Business Quant data shows SCND's Debt Ratio at 0.04 in FY2020 (+142.5%), 0.02 in FY2019, 0.00 in FY2018 (-19.3%) and 0.00 in FY2017 (+15.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 0.38 |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 0.30 |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 0.29 |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 0.30 |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 0.31 |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 0.28 |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 0.33 |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 0.04 |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 0.00 |
| Sep 30, 2022 | 0.00 |
| Mar 31, 2022 | 0.00 |
| Dec 31, 2021 | 0.01 |
| Jun 30, 2021 | 0.01 |
| Mar 31, 2021 | 0.04 |
| Dec 31, 2020 | 0.06 |
| Sep 30, 2020 | 0.05 |
| Jun 30, 2020 | 0.04 |
| Sep 30, 2019 | 0.00 |
| Jun 30, 2019 | 0.02 |
| Mar 31, 2019 | 0.01 |
| Dec 31, 2018 | 0.00 |
| Sep 30, 2018 | 0.00 |
| Jun 30, 2018 | 0.00 |
| Mar 31, 2018 | 0.01 |
| Dec 31, 2017 | 0.01 |
| Sep 30, 2017 | 0.00 |
| Jun 30, 2017 | 0.00 |
| Mar 31, 2017 | 0.00 |
API Access
Scientific Industries Debt Ratio 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=debt-ratio&ticker=SCND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();