Aramark (ARMK) Operating Expenses (2012 - 2026)
Aramark (ARMK) reported Operating Expenses of $4.84 billion for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 9.0% from $4.44 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
Aramark (ARMK) Operating Expenses (2012 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Aramark's Operating Expenses came in at $18.97 billion, up 11.1% year-over-year; for FY2025 (ended Oct 3, 2025), it was $17.71 billion, up 6.1% from FY2024.
- Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $16.69 billion in FY2024 (+8.0%), $15.46 billion in FY2023 (+16.5%), $13.27 billion in FY2022 (+11.5%) and $11.9 billion in FY2021 (-9.1%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2013.
- Year over year, Operating Expenses has now increased in each of the last 12 quarters, with growth averaging 7.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2023 (growth of 125.7%); the low point was fiscal Q4 2022 (a decline of 48.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.69 billion (Q2 2026), $4.61 billion (Q1 2026) and $4.83 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 5.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 4.84 Bn |
| Apr 3, 2026 | 4.69 Bn |
| Jan 2, 2026 | 4.61 Bn |
| Oct 3, 2025 | 4.83 Bn |
| Jun 27, 2025 | 4.44 Bn |
| Mar 28, 2025 | 4.11 Bn |
| Dec 27, 2024 | 4.33 Bn |
| Sep 27, 2024 | 4.20 Bn |
| Jun 28, 2024 | 4.21 Bn |
| Mar 29, 2024 | 4.04 Bn |
| Dec 29, 2023 | 4.24 Bn |
| Sep 29, 2023 | 3.98 Bn |
| Jun 30, 2023 | 3.92 Bn |
| Mar 31, 2023 | 3.79 Bn |
| Dec 30, 2022 | 3.76 Bn |
| Sep 30, 2022 | 1.77 Bn |
| Jul 1, 2022 | 3.98 Bn |
| Apr 1, 2022 | 3.72 Bn |
| Dec 31, 2021 | 3.81 Bn |
| Oct 1, 2021 | 3.42 Bn |
API Access
Aramark 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=ARMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ARMK", "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=ARMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();