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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Vitaspring Biomedical | 2.07 Mn | 2.04 Mn | - | 4.68 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();