Ark Restaurants (ARKR) Other Operating Expenses (2010 - 2026)
Ark Restaurants (ARKR) reported Other Operating Expenses of $5.94 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 1.6% from $6.04 million a year earlier but up 17.0% from the prior quarter.
Ark Restaurants (ARKR) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Ark Restaurants' Other Operating Expenses came in at $21.56 million, down 5.2% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $22.64 million, down 6.1% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- By fiscal year, Other Operating Expenses came in at $24.13 million in FY2024 (+2.7%), $23.5 million in FY2023 (+7.7%), $21.82 million in FY2022 (+36.0%) and $16.04 million in FY2021 (+8.7%).
- Five-year quarterly Other Operating Expenses spans a low of $4.84 million in fiscal Q2 2022 and a high of $6.31 million in fiscal Q3 2024.
- Year over year, Other Operating Expenses gained in 1 of the last eight quarters, with an average decline of 5.5%.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q1 2022 (growth of 82.8%); the low point was fiscal Q1 2025 (a decline of 14.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $5.08 million (Q2 2026), $5.32 million (Q1 2026) and $5.22 million (Q4 2025).
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
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.94 Mn |
| Mar 28, 2026 | 5.08 Mn |
| Dec 27, 2025 | 5.32 Mn |
| Sep 27, 2025 | 5.22 Mn |
| Jun 28, 2025 | 6.04 Mn |
| Mar 29, 2025 | 5.58 Mn |
| Dec 28, 2024 | 5.24 Mn |
| Sep 28, 2024 | 5.89 Mn |
| Jun 29, 2024 | 6.31 Mn |
| Mar 30, 2024 | 5.84 Mn |
| Dec 30, 2023 | 6.09 Mn |
| Sep 30, 2023 | 5.94 Mn |
| Jul 1, 2023 | 6.27 Mn |
| Apr 1, 2023 | 5.35 Mn |
| Dec 31, 2022 | 5.93 Mn |
| Oct 1, 2022 | 5.85 Mn |
| Jul 2, 2022 | 6.00 Mn |
| Apr 2, 2022 | 4.84 Mn |
| Jan 1, 2022 | 5.14 Mn |
| Oct 2, 2021 | 4.97 Mn |
Ark Restaurants Other Operating Expenses 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=other-operating-expenses&ticker=ARKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();