VitaNova Life Sciences (VNOV) Total Liabilities (2017 - 2026)
VitaNova Life Sciences' Total Liabilities came in at $311,656 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 18.0% from $379,975 a year earlier and down 21.3% from the prior quarter.
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Analysis
VitaNova Life Sciences (VNOV) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), VitaNova Life Sciences' Total Liabilities was $395,781, up 13.9% from FY2025.
- Total Liabilities has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 17.8% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $347,567 in FY2025 (+153.8%), $136,920 in FY2024 (+101.5%), $67,943 in FY2023 (+17.0%) and $58,091 in FY2022 (-66.7%).
- The fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q3 2025.
- Year-over-year, Total Liabilities increased in seven of the last eight quarters, with growth averaging 90.2%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2025 (growth of 153.8%), and the weakest in fiscal Q4 2022 (a decline of 66.7%).
- Business Quant data shows VNOV's Total Liabilities at $395,781 (Q4 2026), $457,975 (Q3 2026) and $438,051 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 146.43 Bn | 105.71 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 86.79 Bn | 85.87 Bn | 1.55 Bn | 5.45 Bn |
| 3 | Iron Mountain | 33.63 Bn | 32.82 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 17.31 Bn | 14.35 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 16.03 Bn | 15.57 Bn | 569.95 Mn | 1.93 Bn |
| 6 | UL Solutions | 14.80 Bn | 13.55 Bn | 417.00 Mn | 1.50 Bn |
| 7 | Aramark | 14.78 Bn | 12.73 Bn | 430.34 Mn | 10.58 Bn |
| 8 | Gartner | 14.60 Bn | 8.29 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.21 Bn | - | - |
| 10 | VitaNova Life Sciences | 33.77 Mn | 28.14 Mn | 30,521.00 | 311,656.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 311,656.00 |
| Apr 30, 2026 | 395,781.00 |
| Jan 31, 2026 | 457,975.00 |
| Oct 31, 2025 | 438,051.00 |
| Jul 31, 2025 | 379,975.00 |
| Apr 30, 2025 | 347,567.00 |
| Jan 31, 2025 | 212,789.00 |
| Oct 31, 2024 | 223,938.00 |
| Jul 31, 2024 | 199,374.00 |
| Apr 30, 2024 | 136,920.00 |
| Jan 31, 2024 | 93,574.00 |
| Oct 31, 2023 | 92,217.00 |
| Jul 31, 2023 | 83,462.00 |
| Apr 30, 2023 | 67,943.00 |
| Jan 31, 2023 | 65,843.00 |
| Oct 31, 2022 | 65,443.00 |
| Jul 31, 2022 | 62,738.00 |
| Apr 30, 2022 | 58,091.00 |
| Jan 31, 2022 | 50,491.00 |
| Oct 31, 2021 | 48,791.00 |
API Access
VitaNova Life Sciences 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=VNOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();