Nuo Therapeutics (AURX) Price to Book (2017 - 2024)
Nuo Therapeutics' (AURX) Price to Book was 127.59 for Q4 2024, up 444.9% from 23.42 a year earlier and up 320.3% from the prior quarter.
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Analysis
Nuo Therapeutics (AURX) Price to Book (2017 - 2024) Analysis & Trends
Dating back to Q4 2017, Nuo Therapeutics' Price to Book record includes 13 quarters.
- By year, Price to Book came in at 23.42 in FY2023 (-18.2%), 28.61 in FY2022 and 1.53 in FY2021.
- The Q4 2024 figure ranks as the highest quarterly Price to Book since Q2 2023.
- Year over year, Price to Book gained in two of the last six quarters, with growth averaging 64.3%.
- Per Business Quant data, the three quarters before Q4 2024 came in at 30.35 (Q3 2024), 28.87 (Q2 2024) and 119.41 (Q1 2024).
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, 2024 | 127.59 |
| Sep 30, 2024 | 30.35 |
| Jun 30, 2024 | 28.87 |
| Mar 31, 2024 | 119.41 |
| Dec 31, 2023 | 23.42 |
| Sep 30, 2023 | 34.94 |
| Jun 30, 2023 | 134.81 |
| Mar 31, 2023 | 77.16 |
| Dec 31, 2022 | 28.61 |
| Sep 30, 2022 | 36.48 |
| Jun 30, 2022 | 8.65 |
| Dec 31, 2021 | 1.53 |
| Dec 31, 2017 | 3.94 |
API Access
Nuo Therapeutics Price to Book 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=price-to-book&ticker=AURX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=AURX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();