Vestis (VSTS) Operating Expenses (2022 - 2026)
Vestis (VSTS) posted Operating Expenses of $624.42 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), down 3.8% from $648.84 million a year earlier and down 1.3% from the prior quarter.
Vestis (VSTS) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Operating Expenses at Vestis was $2.6 billion, down 1.2% year-over-year; for FY2025 (ended Oct 3, 2025), it came in at $2.67 billion, up 0.9% from FY2024.
- Annual Operating Expenses has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 2.3% (FY2022 to FY2025).
- In prior fiscal years, Vestis' Operating Expenses was $2.65 billion in FY2024 (+1.6%), $2.61 billion in FY2023 (+4.5%) and $2.49 billion in FY2022.
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Expenses in data going back to fiscal Q1 2023.
- On a year-over-year basis, Operating Expenses has declined in each of the last three quarters, with an average decline of 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2025, with growth of 6.1%; the weakest was fiscal Q2 2026, with a decline of 6.1%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $632.66 million (Q2 2026), $646.81 million (Q1 2026) and $694.37 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 15.82 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 1.58 Bn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 866.81 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 568.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 261.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 1.22 Bn |
| 10 | Vestis | 1.90 Bn | 1.72 Bn | 185.39 Mn | 624.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 624.42 Mn |
| Apr 3, 2026 | 632.66 Mn |
| Jan 2, 2026 | 646.81 Mn |
| Oct 3, 2025 | 694.37 Mn |
| Jun 27, 2025 | 648.84 Mn |
| Mar 28, 2025 | 673.82 Mn |
| Dec 27, 2024 | 653.38 Mn |
| Sep 27, 2024 | 654.51 Mn |
| Jun 28, 2024 | 660.73 Mn |
| Mar 29, 2024 | 662.31 Mn |
| Dec 29, 2023 | 670.33 Mn |
| Sep 29, 2023 | 658.13 Mn |
| Jun 30, 2023 | 643.02 Mn |
| Mar 31, 2023 | 649.91 Mn |
| Dec 30, 2022 | 656.32 Mn |
| Sep 30, 2022 | 683.36 Mn |
Vestis 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=VSTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();