Glaukos (GKOS) Net Short-Term Debt Issued (Repaid) (2015 - 2016)
Glaukos' Net Short-Term Debt Issued (Repaid) came in at -$3.04 million for Q4 2016, compared with -$2.16 million a year earlier.
Analysis
Glaukos (GKOS) Net Short-Term Debt Issued (Repaid) (2015 - 2016) Analysis & Trends
For FY2016, Glaukos' Net Short-Term Debt Issued (Repaid) was -$9.7 million.
- Going back by year, Net Short-Term Debt Issued (Repaid) was -$7.8 million in FY2015 and $1.85 million in FY2014.
- The Q4 2016 figure represents the lowest quarterly Net Short-Term Debt Issued (Repaid) in data going back to Q1 2015.
- Business Quant data shows GKOS's Net Short-Term Debt Issued (Repaid) at -$2.25 million (Q3 2016), -$2.22 million (Q2 2016) and -$2.19 million (Q1 2016) in the three quarters before Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | -69.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | -7.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 812.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | -3.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | -672.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | -291.00 Mn |
| 10 | Glaukos | 14.11 Bn | 13.64 Bn | 179.87 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | -3.04 Mn |
| Sep 30, 2016 | -2.25 Mn |
| Jun 30, 2016 | -2.22 Mn |
| Mar 31, 2016 | -2.19 Mn |
| Dec 31, 2015 | -2.16 Mn |
| Sep 30, 2015 | -2.14 Mn |
| Jun 30, 2015 | -1.41 Mn |
| Mar 31, 2015 | -2.09 Mn |
API Access
Glaukos Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=GKOS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "ticker": "GKOS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-debt&ticker=GKOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();