Aramark (ARMK) EBITDA (2012 - 2026)
Aramark's EBITDA was $351.69 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 15.5% from $304.39 million a year earlier but down 0.1% from the prior quarter.
Aramark (ARMK) EBITDA (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aramark's EBITDA was $1.39 billion through Jul 3, 2026, up 10.5% year-over-year; for FY2025 (ended Oct 3, 2025), it was $1.27 billion, up 11.0% from FY2024.
- EBITDA has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 30.9% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $1.14 billion in FY2024 (+10.4%), $1.03 billion in FY2023 (+27.2%), $813.4 million in FY2022 (+9.6%) and $742.14 million in FY2021 (+124.7%).
- Quarterly EBITDA has moved between -$17.5 million (fiscal Q4 2022) and $351.95 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, EBITDA has increased for 11 straight quarters, with growth averaging 11.3% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2021 (growth of 372.9%); the worst was fiscal Q3 2023 (a decline of 16.7%).
- Per Business Quant data, ARMK's EBITDA in the three fiscal quarters before Q3 2026 was $351.95 million (Q2 2026), $343.55 million (Q1 2026) and $342.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Tetra Tech | 8.68 Bn | 7.79 Bn | 243.21 Mn | 172.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 351.69 Mn |
| Apr 3, 2026 | 351.95 Mn |
| Jan 2, 2026 | 343.55 Mn |
| Oct 3, 2025 | 342.07 Mn |
| Jun 27, 2025 | 304.39 Mn |
| Mar 28, 2025 | 291.28 Mn |
| Dec 27, 2024 | 330.47 Mn |
| Sep 27, 2024 | 331.55 Mn |
| Jun 28, 2024 | 269.81 Mn |
| Mar 29, 2024 | 268.20 Mn |
| Dec 29, 2023 | 272.49 Mn |
| Sep 29, 2023 | 318.29 Mn |
| Jun 30, 2023 | 233.83 Mn |
| Mar 31, 2023 | 228.53 Mn |
| Dec 30, 2022 | 254.28 Mn |
| Sep 30, 2022 | -17.50 Mn |
| Jul 1, 2022 | 280.86 Mn |
| Apr 1, 2022 | 274.28 Mn |
| Dec 31, 2021 | 275.77 Mn |
| Oct 1, 2021 | 270.93 Mn |
Aramark EBITDA 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=ebitda&ticker=ARMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ARMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();