Aramark (ARMK) Change in Accured Expenses (2017 - 2026)
Aramark's Change in Accured Expenses came in at -$6.96 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), compared with -$86.78 million a year earlier.
Aramark (ARMK) Change in Accured Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Aramark reported Change in Accured Expenses of $154.66 million, up 543.5% year-over-year; for FY2025 (ended Oct 3, 2025), it came in at $80.47 million, up 458.0% from FY2024.
- Going back by fiscal year, Change in Accured Expenses was $14.42 million in FY2024 (-83.5%), $87.21 million in FY2023 (+114.0%), $40.74 million in FY2022 (-84.4%) and $261.15 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$460.41 million (fiscal Q1 2024) to $424.58 million (fiscal Q4 2025).
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 11.6%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2021 (growth of 108.3%), and the weakest in fiscal Q2 2025 (a decline of 25.2%).
- Business Quant data shows ARMK's Change in Accured Expenses at $183.95 million (Q2 2026), -$446.91 million (Q1 2026) and $424.58 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 60.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -6.96 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 81.49 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 70.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | -6.96 Mn |
| Apr 3, 2026 | 183.95 Mn |
| Jan 2, 2026 | -446.91 Mn |
| Oct 3, 2025 | 424.58 Mn |
| Jun 27, 2025 | -86.78 Mn |
| Mar 28, 2025 | 126.04 Mn |
| Dec 27, 2024 | -383.37 Mn |
| Sep 27, 2024 | 368.15 Mn |
| Jun 28, 2024 | -61.91 Mn |
| Mar 29, 2024 | 168.59 Mn |
| Dec 29, 2023 | -460.41 Mn |
| Sep 29, 2023 | 334.14 Mn |
| Jun 30, 2023 | -51.38 Mn |
| Mar 31, 2023 | 219.70 Mn |
| Dec 30, 2022 | -415.25 Mn |
| Sep 30, 2022 | 380.24 Mn |
| Jul 1, 2022 | -89.04 Mn |
| Apr 1, 2022 | 153.01 Mn |
| Dec 31, 2021 | -403.47 Mn |
| Oct 1, 2021 | 338.16 Mn |
Aramark Change in Accured 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=change-in-accured-expenses&ticker=ARMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ARMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();