Vitaspring Biomedical (VSBC) Price to Book (2021 - 2022)
Vitaspring Biomedical's (VSBC) Price to Book came in at 1824.07 for fiscal Q3 2023 (quarter ended Oct 31, 2022), down 69.1% from 5904.46 a year earlier and down 4.6% from the prior quarter.
Vitaspring Biomedical (VSBC) Price to Book (2021 - 2022) Analysis & Trends
For FY2022 (ended Jan 31, 2022), Vitaspring Biomedical's Price to Book stood at 1832.78, down 83.8% from FY2021.
- In prior fiscal years, Vitaspring Biomedical's Price to Book was 11343.28 in FY2021.
- Quarterly Price to Book has run from a low of 1638.44 in fiscal Q1 2023 to a high of 11343.28 in fiscal Q4 2021 over five years.
- On a year-over-year basis, Price to Book has declined in each of the last four quarters, with an average decline of 72.6% over the last four quarters.
- According to Business Quant data, Price to Book for the three prior fiscal quarters was 1911.07 (Q2 2023), 1638.44 (Q1 2023) and 1832.78 (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Vitaspring Biomedical | 2.07 Mn | 2.04 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2022 | 1,824.07 |
| Jul 31, 2022 | 1,911.07 |
| Apr 30, 2022 | 1,638.44 |
| Jan 31, 2022 | 1,832.78 |
| Oct 31, 2021 | 5,904.46 |
| Jul 31, 2021 | 5,426.33 |
| Apr 30, 2021 | 5,965.65 |
| Jan 31, 2021 | 11,343.28 |
Vitaspring Biomedical 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=VSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "VSBC", "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=VSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();