Vitaspring Biomedical (VSBC) Total Liabilities (2017 - 2026)
Vitaspring Biomedical's Total Liabilities came in at $4.68 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 10.7% from $4.22 million a year earlier and up 3.5% from the prior quarter.
Vitaspring Biomedical (VSBC) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Vitaspring Biomedical's Total Liabilities was $4.45 million, up 10.3% from FY2025.
- Total Liabilities has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 116.7% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $4.03 million in FY2025 (+15.5%), $3.49 million in FY2024 (+10.3%), $3.16 million in FY2023 (+56.1%) and $2.03 million in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2017.
- Year-over-year, Total Liabilities has increased for 18 consecutive quarters, with growth averaging 12.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 10.0% (fiscal Q1 2027) to 763.2% (fiscal Q1 2023).
- Business Quant data shows VSBC's Total Liabilities at $4.52 million (Q1 2027), $4.45 million (Q4 2026) and $4.37 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,152.93 Bn | 1,121.51 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 623.85 Bn | 542.38 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 512.32 Bn | 485.43 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 365.51 Bn | 319.89 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.25 Bn | 261.24 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.29 Bn | 234.98 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 234.60 Bn | 190.00 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 192.87 Bn | 167.07 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.71 Bn | 118.36 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Vitaspring Biomedical | 6.21 Mn | 6.19 Mn | - | 4.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.68 Mn |
| Apr 30, 2026 | 4.52 Mn |
| Jan 31, 2026 | 4.45 Mn |
| Oct 31, 2025 | 4.37 Mn |
| Jul 31, 2025 | 4.22 Mn |
| Apr 30, 2025 | 4.11 Mn |
| Jan 31, 2025 | 4.03 Mn |
| Oct 31, 2024 | 3.93 Mn |
| Jul 31, 2024 | 3.77 Mn |
| Apr 30, 2024 | 3.66 Mn |
| Jan 31, 2024 | 3.49 Mn |
| Oct 31, 2023 | 3.44 Mn |
| Jul 31, 2023 | 3.38 Mn |
| Apr 30, 2023 | 3.21 Mn |
| Jan 31, 2023 | 3.16 Mn |
| Oct 31, 2022 | 761,789.00 |
| Jul 31, 2022 | 801,630.00 |
| Apr 30, 2022 | 806,009.00 |
| Jan 31, 2022 | 2.03 Mn |
| Oct 31, 2021 | 602,220.00 |
Vitaspring Biomedical Total Liabilities 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=total-liabilities&ticker=VSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();