Aramark (ARMK) Change in Inventory (2017 - 2026)
Aramark's Change in Inventory was -$20.33 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), compared with -$17.22 million a year earlier.
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Analysis
Aramark (ARMK) Change in Inventory (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aramark's Change in Inventory was $35.99 million through Jul 3, 2026, up 19.6% year-over-year; for FY2025 (ended Oct 3, 2025), it came in at $24.09 million, up 529.6% from FY2024.
- Change in Inventory shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier fiscal years, Change in Inventory was $3.83 million in FY2024 (-89.2%), $35.33 million in FY2023 (-54.4%), $77.43 million in FY2022 (+927.5%) and $7.54 million in FY2021 (-70.6%).
- The fiscal Q3 2026 figure marks the lowest quarterly Change in Inventory since fiscal Q1 2024.
- Compared with a year earlier, Change in Inventory was higher in three of the last four quarters, with growth averaging 11.4%.
- The best year-over-year quarter for Change in Inventory over five years was fiscal Q4 2021 (growth of 563.7%); the worst was fiscal Q4 2023 (a decline of 48.2%).
- Per Business Quant data, ARMK's Change in Inventory in the three fiscal quarters before Q3 2026 was $39.01 million (Q2 2026), -$8.15 million (Q1 2026) and $25.45 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | - |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | -5.69 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | - |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 4.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -20.33 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | -858,000.00 |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | -20.33 Mn |
| Apr 3, 2026 | 39.01 Mn |
| Jan 2, 2026 | -8.15 Mn |
| Oct 3, 2025 | 25.45 Mn |
| Jun 27, 2025 | -17.22 Mn |
| Mar 28, 2025 | 29.80 Mn |
| Dec 27, 2024 | -13.94 Mn |
| Sep 27, 2024 | 31.46 Mn |
| Jun 28, 2024 | -18.92 Mn |
| Mar 29, 2024 | 24.59 Mn |
| Dec 29, 2023 | -33.30 Mn |
| Sep 29, 2023 | 27.90 Mn |
| Jun 30, 2023 | -11.70 Mn |
| Mar 31, 2023 | 26.00 Mn |
| Dec 30, 2022 | -6.87 Mn |
| Sep 30, 2022 | 53.81 Mn |
| Jul 1, 2022 | 1.70 Mn |
| Apr 1, 2022 | 41.52 Mn |
| Dec 31, 2021 | -19.60 Mn |
| Oct 1, 2021 | 46.82 Mn |
API Access
Aramark Change in Inventory 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-inventory&ticker=ARMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=ARMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();