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 | 266.22 Bn | 242.86 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 7.00 Mn |
| 10 | Nuo Therapeutics | 51.81 Mn | 50.03 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();