Aramark (ARMK) Accumulated Expenses (2013 - 2026)
Aramark's (ARMK) quarterly Accumulated Expenses came in at $1.2 billion in Q3 2026, up 20.72% year-over-year from $1.0 billion in Q3 2025, and down 0.82% quarter-over-quarter from $1.3 billion in Q2 2026.
Aramark (ARMK) Accumulated Expenses (2013 - 2026) Analysis & Trends
Aramark (ARMK) has reported Accumulated Expenses for 14 consecutive years, with $1.2 billion the latest figure, recorded in Q3 2026.
- On a quarterly basis, Accumulated Expenses rose 20.72% year-over-year to $1.2 billion in Q3 2026; TTM through Jul 2026 was $1.2 billion, a 20.72% increase from a year earlier, with the FY2025 full-year figure at $1.4 billion, up 8.33% from the prior year.
- Accumulated Expenses was $1.2 billion for Q3 2026 at Aramark, down from $1.3 billion in the prior quarter.
- Over five years, Accumulated Expenses peaked at $1.7 billion in Q1 2023 and troughed at $934.2 million in Q4 2023.
- A 5-year average of $1.3 billion and a median of $1.3 billion in 2026 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses plunged 40.91% in 2024 and climbed 20.72% in 2026, its largest moves.
- Over 5 years, Accumulated Expenses stood at $1.4 billion in 2022, then slumped by 34.23% to $934.2 million in 2023, then advanced by 10.7% to $1.0 billion in 2024, then soared by 34.38% to $1.4 billion in 2025, then declined by 10.23% to $1.2 billion in 2026.
- The last three Accumulated Expenses figures came in at $1.2 billion (Q3 2026), $1.3 billion (Q2 2026), and $1.1 billion (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cintas | 79.09 Bn | 78.80 Bn | 1.48 Bn |
| 2 | Iron Mountain | 34.02 Bn | 34.14 Bn | 1.07 Bn |
| 3 | APi | 16.16 Bn | 15.31 Bn | 703.00 Mn |
| 4 | Rollins | 15.61 Bn | 15.50 Bn | 569.95 Mn |
| 5 | Aramark | 14.88 Bn | 14.45 Bn | 430.34 Mn |
| 6 | FirstService | 5.90 Bn | 6.24 Bn | 480.66 Mn |
| 7 | Unifirst | 4.73 Bn | 4.56 Bn | 234.73 Mn |
| 8 | Geo | 4.20 Bn | 3.95 Bn | - |
| 9 | CoreCivic | 3.49 Bn | 3.38 Bn | - |
| 10 | Abm Industries | 2.92 Bn | 2.81 Bn | 286.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 1.25 Bn |
| Apr 3, 2026 | 1.26 Bn |
| Jan 2, 2026 | 1.09 Bn |
| Oct 3, 2025 | 1.39 Bn |
| Jun 27, 2025 | 1.03 Bn |
| Mar 28, 2025 | 1.13 Bn |
| Dec 27, 2024 | 1.03 Bn |
| Sep 27, 2024 | 1.28 Bn |
| Jun 28, 2024 | 972.99 Mn |
| Mar 29, 2024 | 1.04 Bn |
| Dec 29, 2023 | 934.19 Mn |
| Sep 29, 2023 | 1.29 Bn |
| Jun 30, 2023 | 1.65 Bn |
| Mar 31, 2023 | 1.65 Bn |
| Dec 30, 2022 | 1.42 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jul 1, 2022 | 1.50 Bn |
| Apr 1, 2022 | 1.64 Bn |
| Dec 31, 2021 | 1.47 Bn |
| Oct 1, 2021 | 1.14 Bn |
Aramark Accumulated 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=accumulated-expenses&ticker=ARMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ARMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();