Nuo Therapeutics (AURX) Other Accumulated Expenses (2015 - 2025)
Nuo Therapeutics (AURX) posted Other Accumulated Expenses of $44,760 for Q4 2025, up 40.1% from $31,949 a year earlier.
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Analysis
Nuo Therapeutics (AURX) Other Accumulated Expenses (2015 - 2025) Analysis & Trends
Since Q4 2014, Nuo Therapeutics has reported Other Accumulated Expenses for 19 quarters.
- Annual Other Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Nuo Therapeutics' Other Accumulated Expenses was $31,949 in FY2024 (+74.7%), $18,284 in FY2023 (+321.9%), $4,334 in FY2022 (-86.9%) and $33,189 in FY2021 (unchanged).
- The Q4 2025 figure stands as the highest quarterly Other Accumulated Expenses since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.06 Bn | 229.21 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 177.62 Bn | 148.71 Bn | 7.27 Bn |
| 3 | Danaher | 161.58 Bn | 145.40 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 153.84 Bn | 134.26 Bn | 2.08 Bn |
| 5 | Medtronic | 123.63 Bn | 89.50 Bn | 6.34 Bn |
| 6 | Stryker | 117.79 Bn | 103.90 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.71 Bn | 61.72 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.60 Bn | 51.75 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.95 Bn | 36.07 Bn | 1.35 Bn |
| 10 | Nuo Therapeutics | 62.96 Mn | 61.13 Mn | 1.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 44,760.00 |
| Dec 31, 2024 | 31,949.00 |
| Dec 31, 2023 | 18,284.00 |
| Dec 31, 2022 | 4,334.00 |
| Dec 31, 2021 | 33,189.00 |
| Dec 31, 2020 | 33,189.00 |
| Dec 31, 2019 | 33,189.00 |
| Dec 31, 2018 | 150,375.00 |
| Dec 31, 2017 | 241,485.00 |
| Dec 31, 2016 | 124,484.00 |
| Dec 31, 2015 | 518,734.00 |
API Access
Nuo Therapeutics Other Accumulated 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=other-accumulated-expenses&ticker=AURX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=AURX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();