Scientific Industries (SCND) Non Operating Interest Expenses (2011 - 2019)
Scientific Industries (SCND) reported Non Operating Interest Expenses of $100.00 for Q4 2019, down 83.3% from $600.00 a year earlier and down 83.3% from the prior quarter.
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Analysis
Scientific Industries (SCND) Non Operating Interest Expenses (2011 - 2019) Analysis & Trends
For FY2019, Scientific Industries posted Non Operating Interest Expenses of $1,500, down 11.8% from FY2018.
- Non Operating Interest Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -13.5% (FY2014 to FY2019).
- By year, Non Operating Interest Expenses came in at $1,700 in FY2018 (-41.4%), $2,900 in FY2017 (-91.4%), $33,900 in FY2016 (+707.1%) and $4,200 in FY2015 (+35.5%).
- Five-year quarterly Non Operating Interest Expenses spans a low of -$2,000 in Q4 2016 and a high of $14,000 in Q2 2016.
- Year over year, Non Operating Interest Expenses gained in two of the last eight quarters, with growth averaging 6.2%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2016 (growth of 900.0%); the low point was Q1 2017 (a decline of 97.5%).
- Per Business Quant data, the three quarters before Q4 2019 came in at $600.00 (Q3 2019), $400.00 (Q2 2019) and $400.00 (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Scientific Industries | 8.95 Mn | -4.22 Mn | 622,700.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 100.00 |
| Mar 31, 2019 | 600.00 |
| Dec 31, 2018 | 400.00 |
| Sep 30, 2018 | 400.00 |
| Jun 30, 2018 | 600.00 |
| Mar 31, 2018 | 500.00 |
| Dec 31, 2017 | 500.00 |
| Sep 30, 2017 | 100.00 |
| Jun 30, 2017 | 700.00 |
| Mar 31, 2017 | 1,200.00 |
| Dec 31, 2016 | 900.00 |
| Sep 30, 2016 | 200.00 |
| Jun 30, 2016 | -2,000.00 |
| Mar 31, 2016 | 13,700.00 |
| Dec 31, 2015 | 14,000.00 |
| Sep 30, 2015 | 8,100.00 |
| Jun 30, 2015 | -100.00 |
| Mar 31, 2015 | 1,600.00 |
| Dec 31, 2014 | 1,400.00 |
| Sep 30, 2014 | 1,200.00 |
API Access
Scientific Industries Non Operating Interest Expenses 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-operating-interest-expenses&ticker=SCND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=SCND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();