Ark Restaurants (ARKR) Operating Leases (2019 - 2026)
Ark Restaurants (ARKR) reported Operating Leases of $70.43 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 9.0% from $77.43 million a year earlier and down 3.0% from the prior quarter.
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Analysis
Ark Restaurants (ARKR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ark Restaurants posted Operating Leases of $75.79 million, down 9.3% from FY2024.
- Operating Leases has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- By fiscal year, Operating Leases came in at $83.52 million in FY2024 (-9.5%), $92.23 million in FY2023 (-5.3%), $97.44 million in FY2022 (+85.4%) and $52.55 million in FY2021 (+5.2%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Leases since fiscal Q2 2022.
- Year over year, Operating Leases has now declined in each of the last 12 quarters, with an average decline of 9.4% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q2 2023 (growth of 89.0%); the low point was fiscal Q2 2022 (a decline of 12.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $72.63 million (Q2 2026), $74.17 million (Q1 2026) and $75.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Ark Restaurants | 16.23 Mn | -25.84 Mn | 24.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 70.43 Mn |
| Mar 28, 2026 | 72.63 Mn |
| Dec 27, 2025 | 74.17 Mn |
| Sep 27, 2025 | 75.79 Mn |
| Jun 28, 2025 | 77.43 Mn |
| Mar 29, 2025 | 79.06 Mn |
| Dec 28, 2024 | 80.65 Mn |
| Sep 28, 2024 | 83.52 Mn |
| Jun 29, 2024 | 86.52 Mn |
| Mar 30, 2024 | 88.23 Mn |
| Dec 30, 2023 | 90.14 Mn |
| Sep 30, 2023 | 92.23 Mn |
| Jul 1, 2023 | 91.25 Mn |
| Apr 1, 2023 | 93.36 Mn |
| Dec 31, 2022 | 95.42 Mn |
| Oct 1, 2022 | 97.44 Mn |
| Jul 2, 2022 | 71.57 Mn |
| Apr 2, 2022 | 49.39 Mn |
| Jan 1, 2022 | 50.50 Mn |
| Oct 2, 2021 | 52.55 Mn |
API Access
Ark Restaurants Operating Leases 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=operating-leases&ticker=ARKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "ARKR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();