Aramark (ARMK) Land & Improvements (2013 - 2025)
Aramark's Land & Improvements came in at $566.08 million for fiscal Q4 2025 (quarter ended Oct 3, 2025), up 1.2% from $559.2 million a year earlier.
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Analysis
Aramark (ARMK) Land & Improvements (2013 - 2025) Analysis & Trends
Going back to fiscal Q4 2013, Aramark's Land & Improvements data covers 13 quarters.
- Land & Improvements carries a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- Going back by fiscal year, Land & Improvements was $559.2 million in FY2024 (+11.6%), $500.89 million in FY2023 (-51.6%), $1.04 billion in FY2022 (+5.3%) and $983.54 million in FY2021 (+5.8%).
- The fiscal Q4 2025 figure represents the highest quarterly Land & Improvements since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | - |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | - |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | - |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | - |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | - |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | - |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2025 | 566.08 Mn |
| Sep 27, 2024 | 559.20 Mn |
| Sep 29, 2023 | 500.89 Mn |
| Sep 30, 2022 | 1.04 Bn |
| Oct 1, 2021 | 983.54 Mn |
| Oct 2, 2020 | 929.35 Mn |
| Sep 27, 2019 | 947.52 Mn |
| Sep 28, 2018 | 901.87 Mn |
| Sep 29, 2017 | 673.62 Mn |
| Sep 30, 2016 | 643.35 Mn |
| Oct 2, 2015 | 639.15 Mn |
| Oct 3, 2014 | 610.57 Mn |
| Sep 27, 2013 | 611.59 Mn |
API Access
Aramark Land & Improvements 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=land-and-improvements&ticker=ARMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=ARMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();