Vestis (VSTS) EV to EBITDA (2023 - 2026)
Vestis' (VSTS) EV to EBITDA stood at 7.76 in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 117.9% from 3.56 a year earlier and up 77.5% from the prior quarter.
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Analysis
Vestis (VSTS) EV to EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Vestis' EV to EBITDA came in at 7.24 as of Jul 3, 2026, up 126.1% year-over-year; for FY2025 (ended Oct 3, 2025), it was 3.07, down 53.2% from FY2024.
- Across earlier fiscal years, EV to EBITDA came in at 6.55 in FY2024 (-6.7%) and 7.02 in FY2023.
- The fiscal Q3 2026 figure is the highest quarterly EV to EBITDA in data going back to fiscal Q4 2023.
- On a year-over-year basis, EV to EBITDA rose in 1 of the last eight quarters, with an average decline of 7.1%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 117.9% in fiscal Q3 2026, against a decline of 53.2% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 4.37 (Q2 2026), 4.33 (Q1 2026) and 3.07 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn |
| 10 | Vestis | 1.90 Bn | 1.72 Bn | 185.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 7.64 |
| Apr 3, 2026 | 4.30 |
| Jan 2, 2026 | 4.25 |
| Oct 3, 2025 | 3.01 |
| Jun 27, 2025 | 3.47 |
| Mar 28, 2025 | 5.46 |
| Dec 27, 2024 | 6.97 |
| Sep 27, 2024 | 6.45 |
| Jun 28, 2024 | 4.82 |
| Mar 29, 2024 | 7.05 |
| Dec 29, 2023 | 7.58 |
| Sep 29, 2023 | 7.02 |
API Access
Vestis EV to EBITDA 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=ev-to-ebitda&ticker=VSTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=VSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();