Stereotaxis (STXS) Non Operating Interest Expenses (2010 - 2019)
Stereotaxis (STXS) reported Non Operating Interest Expenses of -$31,810 for Q2 2019, compared with $6,142 a year earlier.
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Analysis
Stereotaxis (STXS) Non Operating Interest Expenses (2010 - 2019) Analysis & Trends
Over the twelve months ended Jun 30, 2019, Stereotaxis' Non Operating Interest Expenses came in at -$62,566; for FY2018, it was $16,566, down 90.8% from FY2017.
- Non Operating Interest Expenses has declined for five consecutive years, with a five-year compound annual growth rate of -73.5% (FY2013 to FY2018).
- By year, Non Operating Interest Expenses came in at $179,844 in FY2017 (-92.8%), $2.48 million in FY2016 (-24.4%), $3.28 million in FY2015 (-1.5%) and $3.34 million in FY2014 (-73.5%).
- The Q2 2019 figure ranks as the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- Year over year, Non Operating Interest Expenses gained in 1 of the last five quarters, with an average decline of 31.3%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2017 (growth of 168.4%); the low point was Q4 2016 (a decline of 98.0%).
- Per Business Quant data, the three quarters before Q2 2019 came in at -$16,566 (Q1 2019), -$16,705 (Q4 2018) and $2,515 (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Stereotaxis | 119.24 Mn | 119.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -31,810.00 |
| Mar 31, 2019 | -16,566.00 |
| Dec 31, 2018 | -16,705.00 |
| Sep 30, 2018 | 2,515.00 |
| Jun 30, 2018 | 6,142.00 |
| Mar 31, 2018 | 24,615.00 |
| Dec 31, 2017 | 44,508.00 |
| Sep 30, 2017 | 43,077.00 |
| Jun 30, 2017 | 42,775.00 |
| Mar 31, 2017 | 49,483.00 |
| Dec 31, 2016 | 16,581.00 |
| Sep 30, 2016 | 818,738.00 |
| Jun 30, 2016 | 829,046.00 |
| Mar 31, 2016 | 819,019.00 |
| Dec 31, 2015 | 823,287.00 |
| Sep 30, 2015 | 815,071.00 |
| Jun 30, 2015 | 816,023.00 |
| Mar 31, 2015 | 829,788.00 |
| Dec 31, 2014 | 829,458.00 |
| Sep 30, 2014 | 834,224.00 |
API Access
Stereotaxis 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=STXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "STXS", "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=STXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();