Stereotaxis (STXS) Interest Expenses (2010 - 2019)
Stereotaxis (STXS) recorded Interest Expenses of -$31,810 in Q2 2019, compared with $6,142 a year earlier.
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Analysis
Stereotaxis (STXS) Interest Expenses (2010 - 2019) Analysis & Trends
On a TTM basis, Stereotaxis' Interest Expenses came in at -$62,566 as of Jun 30, 2019; for FY2018, it came in at $16,566, down 90.8% from FY2017.
- Annual Interest Expenses has declined for five straight years, with a five-year compound annual growth rate of -73.5% (FY2013 to FY2018).
- Across earlier years, 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 is the lowest quarterly Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Interest Expenses rose in 1 of the last five quarters, with an average decline of 31.3%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 168.4% in Q4 2017, against a decline of 98.0% in Q4 2016 at the low end.
- Per Business Quant, the preceding three quarters 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) | Int Expense (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 | Stereotaxis | 124.25 Mn | 124.25 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 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=interest-expenses&ticker=STXS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=STXS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();