Nuo Therapeutics (AURX) Total Non-Current Liabilities (2009 - 2024)
Nuo Therapeutics' Total Non-Current Liabilities was $1.1 million in Q2 2018, down 40.8% from $1.85 million a year earlier and down 5.1% from the prior quarter.
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Analysis
Nuo Therapeutics (AURX) Total Non-Current Liabilities (2009 - 2024) Analysis & Trends
At the end of FY2017, Total Non-Current Liabilities at Nuo Therapeutics came in at $936,837, down 35.3% from FY2016.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of -51.3% (FY2013 to FY2017).
- In earlier years, Total Non-Current Liabilities was $1.45 million in FY2016 (+53.3%), $944,155 in FY2015 (-91.3%), $10.91 million in FY2014 (-34.6%) and $16.69 million in FY2013.
- Quarterly Total Non-Current Liabilities has moved between $936,837 (Q4 2017) and $24.11 million (Q1 2014) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 11.6% over the last four quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2016 (growth of 53.3%); the worst was Q4 2015 (a decline of 91.3%).
- Per Business Quant data, AURX's Total Non-Current Liabilities in the three quarters before Q2 2018 was $1.15 million (Q1 2018), $936,837 (Q4 2017) and $1.69 million (Q3 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Nuo Therapeutics | 51.81 Mn | 50.03 Mn | 1.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 666,937.00 |
| Dec 31, 2023 | 826,089.00 |
| Sep 30, 2019 | 1.31 Mn |
| Jun 30, 2019 | 1.33 Mn |
| Mar 31, 2019 | 1.16 Mn |
| Dec 31, 2018 | 1.04 Mn |
| Sep 30, 2018 | 813,655.00 |
| Jun 30, 2018 | 1.10 Mn |
| Mar 31, 2018 | 1.15 Mn |
| Dec 31, 2017 | 936,837.00 |
| Sep 30, 2017 | 1.69 Mn |
| Jun 30, 2017 | 1.85 Mn |
| Mar 31, 2017 | 1.51 Mn |
| Dec 31, 2016 | 1.45 Mn |
| Sep 30, 2016 | 1.71 Mn |
| Jun 30, 2016 | 2.63 Mn |
| Mar 31, 2016 | 785,657.00 |
| Dec 31, 2015 | 944,155.00 |
| Sep 30, 2015 | 13.15 Mn |
| Jun 30, 2015 | 9.74 Mn |
API Access
Nuo Therapeutics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AURX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AURX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();