Vitaspring Biomedical (VSBC) Change in Accrued Expenses (2019 - 2026)
Vitaspring Biomedical (VSBC) recorded Change in Accured Expenses of $56,011 in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 29.9% from $79,893 a year earlier and down 6.0% from the prior quarter.
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Analysis
Vitaspring Biomedical (VSBC) Change in Accrued Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Vitaspring Biomedical's Change in Accured Expenses came in at $157,276 as of Jul 31, 2026, down 36.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $157,276, up 1.0% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 11.1% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $155,750 in FY2025 (-45.1%), $283,938 in FY2024 (-75.9%), $1.18 million in FY2023 (-5.8%) and $1.25 million in FY2022.
- Quarterly Change in Accured Expenses has ranged from -$1.25 million in fiscal Q1 2023 to $118,359 in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last six quarters, with growth averaging 12.5%.
- Per Business Quant, the preceding three fiscal quarters came in at $59,614 (Q1 2027), $42,675 (Q4 2026) and -$1,024 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Vitaspring Biomedical | 4.14 Mn | 4.12 Mn | - | 56,011.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 56,011.00 |
| Apr 30, 2026 | 59,614.00 |
| Jan 31, 2026 | 42,675.00 |
| Oct 31, 2025 | -1,024.00 |
| Jul 31, 2025 | 79,893.00 |
| Apr 30, 2025 | 35,732.00 |
| Jan 31, 2025 | 48,800.00 |
| Oct 31, 2024 | 81,518.00 |
| Jul 31, 2024 | -34,513.00 |
| Apr 30, 2024 | 59,945.00 |
| Jan 31, 2024 | 22,494.00 |
| Oct 31, 2023 | 110,055.00 |
| Jul 31, 2023 | 118,359.00 |
| Apr 30, 2023 | 33,030.00 |
| Jan 31, 2023 | 2.43 Mn |
| Apr 30, 2022 | -1.25 Mn |
| Jan 31, 2022 | 1.25 Mn |
| Oct 31, 2021 | 786.00 |
| Jul 31, 2021 | -136.00 |
| Apr 30, 2021 | 183.00 |
API Access
Vitaspring Biomedical Change in Accrued Expenses 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=change-in-accured-expenses&ticker=VSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=VSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();