Vitaspring Biomedical (VSBC) Receivables - Net (2022 - 2023)
Vitaspring Biomedical's Receivables - Net came in at $60,000 for fiscal Q3 2024 (quarter ended Oct 31, 2023), down 97.0% from $2.02 million a year earlier and down 53.8% from the prior quarter.
Vitaspring Biomedical (VSBC) Receivables - Net (2022 - 2023) Analysis & Trends
At the end of FY2023 (ended Jan 31, 2023), Vitaspring Biomedical's Receivables - Net was $380,000, down 87.1% from FY2022.
- Going back by fiscal year, Receivables - Net was $2.95 million in FY2022.
- The fiscal Q3 2024 figure represents the lowest quarterly Receivables - Net in data going back to fiscal Q4 2022.
- Year-over-year, Receivables - Net has declined for four consecutive quarters, with an average decline of 91.8% over the last four quarters.
- Business Quant data shows VSBC's Receivables - Net at $130,000 (Q2 2024), $230,000 (Q1 2024) and $380,000 (Q4 2023) in the three fiscal quarters before Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,156.56 Bn | 1,125.15 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.94 Bn | 543.46 Bn | 17.26 Bn |
| 3 | AbbVie | 510.06 Bn | 483.17 Bn | 12.70 Bn |
| 4 | Merck | 365.20 Bn | 319.58 Bn | 12.21 Bn |
| 5 | Novartis Ag | 296.34 Bn | 260.33 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.41 Bn | 235.09 Bn | 12.86 Bn |
| 7 | Amgen | 235.14 Bn | 190.54 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.76 Bn | 167.96 Bn | 6.22 Bn |
| 9 | Pfizer | 171.40 Bn | 118.04 Bn | 10.94 Bn |
| 10 | Vitaspring Biomedical | 6.21 Mn | 6.19 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2023 | 60,000.00 |
| Jul 31, 2023 | 130,000.00 |
| Apr 30, 2023 | 230,000.00 |
| Jan 31, 2023 | 380,000.00 |
| Oct 31, 2022 | 2.02 Mn |
| Jul 31, 2022 | 2.12 Mn |
| Apr 30, 2022 | 2.12 Mn |
| Jan 31, 2022 | 2.95 Mn |
Vitaspring Biomedical Receivables - Net 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=receivables-net&ticker=VSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=VSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();