Stereotaxis (STXS) Interest Expenses (2009 - 2019)
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Analysis
Stereotaxis (STXS) Interest Expenses (2009 - 2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | -417.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | - |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | - |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | - |
| 10 | Stereotaxis | 83.17 Mn | 83.17 Mn | 3.96 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();