VitaNova Life Sciences (VNOV) Price to Book (2024 - 2026)
VitaNova Life Sciences' (VNOV) Price to Book was 5.97 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 17.7% from 7.25 a year earlier but up 6.4% from the prior quarter.
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Analysis
VitaNova Life Sciences (VNOV) Price to Book (2024 - 2026) Analysis & Trends
For FY2026 (ended Apr 30, 2026), Price to Book at VitaNova Life Sciences was 5.61, down 20.7% from FY2025.
- By fiscal year, Price to Book came in at 7.08 in FY2025 (-61.0%) and 18.14 in FY2024.
- Five-year quarterly Price to Book spans a low of 5.61 in fiscal Q4 2026 and a high of 63.64 in fiscal Q2 2026.
- Year over year, Price to Book gained in two of the last seven quarters, with growth averaging 45.3%.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 5.61 (Q4 2026), 21.72 (Q3 2026) and 63.64 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - |
| 10 | VitaNova Life Sciences | 35.43 Mn | 29.80 Mn | 30,521.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.97 |
| Apr 30, 2026 | 5.61 |
| Jan 31, 2026 | 21.72 |
| Oct 31, 2025 | 63.64 |
| Jul 31, 2025 | 7.25 |
| Apr 30, 2025 | 7.08 |
| Jan 31, 2025 | 12.19 |
| Oct 31, 2024 | 13.05 |
| Jul 31, 2024 | 13.49 |
| Apr 30, 2024 | 18.14 |
| Jan 31, 2024 | 12.57 |
API Access
VitaNova Life Sciences Price to Book 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=price-to-book&ticker=VNOV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=VNOV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();