Vestis (VSTS) Price to Book (2023 - 2026)
Vestis' (VSTS) Price to Book stood at 2.15 in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 135.5% from 0.91 a year earlier and up 80.3% from the prior quarter.
Vestis (VSTS) Price to Book (2023 - 2026) Analysis & Trends
For FY2025 (ended Oct 3, 2025), Vestis' Price to Book came in at 0.77, down 65.0% from FY2024.
- Across earlier fiscal years, Price to Book came in at 2.20 in FY2024 (-23.5%) and 2.88 in FY2023.
- The fiscal Q3 2026 figure is the highest quarterly Price to Book since fiscal Q1 2025.
- On a year-over-year basis, Price to Book rose in 1 of the last eight quarters, with an average decline of 18.9%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 135.5% in fiscal Q3 2026, against a decline of 65.0% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 1.19 (Q2 2026), 1.00 (Q1 2026) and 0.77 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - |
| 10 | Vestis | 1.76 Bn | 1.58 Bn | 185.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 2.15 |
| Apr 3, 2026 | 1.19 |
| Jan 2, 2026 | 1.00 |
| Oct 3, 2025 | 0.77 |
| Jun 27, 2025 | 0.91 |
| Mar 28, 2025 | 1.51 |
| Dec 27, 2024 | 2.25 |
| Sep 27, 2024 | 2.20 |
| Jun 28, 2024 | 1.78 |
| Mar 29, 2024 | 2.81 |
| Dec 29, 2023 | 3.07 |
| Sep 29, 2023 | 2.88 |
Vestis 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=VSTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "VSTS", "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=VSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();