VitaNova Life Sciences (VNOV) Change in Accured Expenses (2019 - 2026)
VitaNova Life Sciences' Change in Accured Expenses came in at $944.00 for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 132.5% from $406.00 a year earlier.
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Analysis
VitaNova Life Sciences (VNOV) Change in Accured Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, VitaNova Life Sciences reported Change in Accured Expenses of $18,612; for FY2026 (ended Apr 30, 2026), it came in at $18,074.
- Change in Accured Expenses carries a five-year compound annual growth rate of 13.0% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was -$7,482 in FY2025, $8,906 in FY2024 (+52.2%), $5,852 in FY2023 (-66.4%) and $17,428 in FY2022 (+77.7%).
- The five-year range for quarterly Change in Accured Expenses is -$10,970 (fiscal Q4 2025) to $12,418 (fiscal Q3 2026).
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2024 (growth of 402.2%), and the weakest in fiscal Q2 2025 (a decline of 99.9%).
- Business Quant data shows VNOV's Change in Accured Expenses at -$2,992 (Q4 2026), $12,418 (Q3 2026) and $8,242 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn | - |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn | 32.99 Mn |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn | 53.59 Mn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | -6.96 Mn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - | - |
| 10 | VitaNova Life Sciences | 35.43 Mn | 29.80 Mn | 30,521.00 | 944.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 944.00 |
| Apr 30, 2026 | -2,992.00 |
| Jan 31, 2026 | 12,418.00 |
| Oct 31, 2025 | 8,242.00 |
| Jul 31, 2025 | 406.00 |
| Apr 30, 2025 | -10,970.00 |
| Jan 31, 2025 | -3,013.00 |
| Oct 31, 2024 | 1.00 |
| Jul 31, 2024 | 6,500.00 |
| Apr 30, 2024 | 10,547.00 |
| Jan 31, 2024 | -505.00 |
| Oct 31, 2023 | 764.00 |
| Jul 31, 2023 | -1,900.00 |
| Apr 30, 2023 | 2,100.00 |
| Jan 31, 2023 | -3,600.00 |
| Oct 31, 2022 | 2,705.00 |
| Jul 31, 2022 | 4,647.00 |
| Apr 30, 2022 | 7,600.00 |
| Jan 31, 2022 | 1,700.00 |
| Oct 31, 2021 | 4,584.00 |
API Access
VitaNova Life Sciences Change in Accured 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=VNOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "VNOV", "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=VNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();