Nymox Pharmaceutical (NYMXF) Price to Book (2018 - 2022)
Nymox Pharmaceutical's (NYMXF) Price to Book came in at 45.37 for Q3 2022, down 55.3% from 101.45 a year earlier but up 169.1% from the prior quarter.
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Analysis
Nymox Pharmaceutical (NYMXF) Price to Book (2018 - 2022) Analysis & Trends
For FY2020, Nymox Pharmaceutical's Price to Book stood at 90.14, up 98.4% from FY2019.
- In prior years, Nymox Pharmaceutical's Price to Book was 45.44 in FY2019 (+275.5%) and 12.10 in FY2018.
- Quarterly Price to Book has run from a low of 4.56 in Q3 2020 to a high of 115.65 in Q1 2020 over five years.
- The strongest year-over-year quarter for Price to Book in the past five years was Q1 2020, with growth of 815.8%; the weakest was Q3 2020, with a decline of 78.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn |
| 10 | Nymox Pharmaceutical | 3.84 Mn | 3.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 45.37 |
| Jun 30, 2022 | 16.86 |
| Sep 30, 2021 | 101.45 |
| Jun 30, 2021 | 26.17 |
| Dec 31, 2020 | 90.14 |
| Sep 30, 2020 | 4.56 |
| Mar 31, 2020 | 115.65 |
| Dec 31, 2019 | 45.44 |
| Sep 30, 2019 | 20.95 |
| Jun 30, 2019 | 12.40 |
| Mar 31, 2019 | 12.63 |
| Dec 31, 2018 | 12.10 |
| Sep 30, 2018 | 35.29 |
| Jun 30, 2018 | 53.35 |
API Access
Nymox Pharmaceutical 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=NYMXF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "NYMXF", "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=NYMXF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();