Aramark (ARMK) Total Non-Current Liabilities (2019 - 2026)
Aramark (ARMK) posted Total Non-Current Liabilities of $9.92 billion for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 3.0% from $9.64 billion a year earlier but down 0.1% from the prior quarter.
Aramark (ARMK) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Aramark's Total Non-Current Liabilities came in at $9.6 billion, up 5.0% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In prior fiscal years, Aramark's Total Non-Current Liabilities was $9.15 billion in FY2024 (-27.7%), $12.66 billion in FY2023 (+7.1%), $11.81 billion in FY2022 (+3.8%) and $11.38 billion in FY2021 (-10.9%).
- Quarterly Total Non-Current Liabilities has run from a low of $9.11 billion in fiscal Q3 2024 to a high of $12.66 billion in fiscal Q4 2023 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last six quarters, with an average decline of 1.2%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q1 2026, with growth of 7.2%; the weakest was fiscal Q4 2024, with a decline of 27.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $9.94 billion (Q2 2026), $9.78 billion (Q1 2026) and $9.6 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 9.92 Bn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 1.79 Bn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | -6.00 Mn |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 2.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 9.92 Bn |
| Apr 3, 2026 | 9.94 Bn |
| Jan 2, 2026 | 9.78 Bn |
| Oct 3, 2025 | 9.60 Bn |
| Jun 27, 2025 | 9.64 Bn |
| Mar 28, 2025 | 9.94 Bn |
| Dec 27, 2024 | 9.13 Bn |
| Sep 27, 2024 | 9.15 Bn |
| Jun 28, 2024 | 9.11 Bn |
| Sep 29, 2023 | 12.66 Bn |
| Sep 30, 2022 | 11.81 Bn |
| Oct 1, 2021 | 11.38 Bn |
| Oct 2, 2020 | 12.77 Bn |
| Sep 27, 2019 | 10.25 Bn |
Aramark Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ARMK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ARMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();