Nuo Therapeutics (AURX) Long-Term Debt Repayments (2013 - 2014)
Nuo Therapeutics (AURX) posted Long-Term Debt Repayments of $6.2 million for FY2014, up 508.0% from $1.02 million in FY2013.
Analysis
Nuo Therapeutics (AURX) Long-Term Debt Repayments (2013 - 2014) Analysis & Trends
Since FY2010, Nuo Therapeutics has reported Long-Term Debt Repayments for 4 years.
- Annual Long-Term Debt Repayments shows a four-year compound annual growth rate of 87.0% (FY2010 to FY2014).
- Business Quant data shows AURX's Long-Term Debt Repayments at $1.02 million in FY2013, $2.64 million in FY2011 (+421.3%) and $506,703 in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 253.62 Bn | 232.65 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.99 Bn | 146.42 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.43 Bn | 148.23 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.62 Bn | 134.04 Bn | 1.96 Bn | - |
| 5 | Medtronic | 120.99 Bn | 86.24 Bn | 6.34 Bn | - |
| 6 | Stryker | 116.60 Bn | 102.72 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.31 Bn | 61.08 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.00 Bn | 51.14 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.33 Bn | 35.34 Bn | 1.35 Bn | - |
| 10 | Nuo Therapeutics | 61.03 Mn | 59.20 Mn | 1.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 2.10 Mn |
| Mar 31, 2014 | 4.10 Mn |
| Dec 31, 2013 | 450,000.00 |
| Sep 30, 2013 | 300,000.00 |
| Jun 30, 2013 | 540,000.00 |
| Mar 31, 2013 | -270,000.00 |
API Access
Nuo Therapeutics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=AURX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AURX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=AURX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();