VitaNova Life Sciences (VNOV) Operating Expenses (2017 - 2026)
VitaNova Life Sciences (VNOV) recorded Operating Expenses of $152,683 in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 50.8% from $101,221 a year earlier but down 59.2% from the prior quarter.
Powered by 
Analysis
VitaNova Life Sciences (VNOV) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, VitaNova Life Sciences' Operating Expenses came in at $958,450 as of Jul 31, 2026, up 173.8% year-over-year; for FY2026 (ended Apr 30, 2026), it was $906,988, up 146.9% from FY2025.
- Annual Operating Expenses has increased for three straight fiscal years, with a five-year compound annual growth rate of 77.1% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $367,396 in FY2025 (+113.5%), $172,082 in FY2024 (+176.5%), $62,227 in FY2023 (-53.3%) and $133,367 in FY2022 (+156.0%).
- Quarterly Operating Expenses has ranged from $7,385 in fiscal Q4 2023 to $374,522 in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 246.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 964.9% in fiscal Q2 2025, against a decline of 89.7% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $374,522 (Q4 2026), $269,612 (Q3 2026) and $161,633 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 147.80 Bn | 107.08 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 88.17 Bn | 87.25 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 34.25 Bn | 33.44 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.39 Bn | 14.43 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.15 Bn | 15.70 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 14.99 Bn | 13.75 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 14.61 Bn | 8.30 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.62 Bn | 4.14 Bn | - | - |
| 10 | VitaNova Life Sciences | 37.94 Mn | 32.31 Mn | 30,521.00 | 152,683.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 152,683.00 |
| Apr 30, 2026 | 374,522.00 |
| Jan 31, 2026 | 269,612.00 |
| Oct 31, 2025 | 161,633.00 |
| Jul 31, 2025 | 101,221.00 |
| Apr 30, 2025 | 75,137.00 |
| Jan 31, 2025 | 80,438.00 |
| Oct 31, 2024 | 93,234.00 |
| Jul 31, 2024 | 118,587.00 |
| Apr 30, 2024 | 118,928.00 |
| Jan 31, 2024 | 20,152.00 |
| Oct 31, 2023 | 8,755.00 |
| Jul 31, 2023 | 24,247.00 |
| Apr 30, 2023 | 7,385.00 |
| Jan 31, 2023 | 34,577.00 |
| Oct 31, 2022 | 7,399.00 |
| Jul 31, 2022 | 12,866.00 |
| Apr 30, 2022 | 71,807.00 |
| Jan 31, 2022 | 21,083.00 |
| Oct 31, 2021 | 29,991.00 |
API Access
VitaNova Life Sciences Operating 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=operating-expenses&ticker=VNOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();