Ark Restaurants (ARKR) Accumulated Expenses (2010 - 2026)
Ark Restaurants (ARKR) recorded Accumulated Expenses of $9.18 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 10.3% from $10.24 million a year earlier but up 0.7% from the prior quarter.
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Analysis
Ark Restaurants (ARKR) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ark Restaurants reported Accumulated Expenses of $10.81 million, down 10.3% from FY2024.
- Annual Accumulated Expenses has declined for three straight fiscal years, with a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Across earlier fiscal years, Accumulated Expenses came in at $12.05 million in FY2024 (-12.9%), $13.83 million in FY2023 (-15.2%), $16.31 million in FY2022 (+19.2%) and $13.68 million in FY2021 (+7.8%).
- Quarterly Accumulated Expenses has ranged from $8.69 million in fiscal Q1 2026 to $16.31 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for 15 consecutive quarters, with an average decline of 13.2% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 19.2% in fiscal Q4 2022, against a decline of 19.1% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.12 million (Q2 2026), $8.69 million (Q1 2026) and $10.81 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 | 9.18 Mn |
| Mar 28, 2026 | 9.12 Mn |
| Dec 27, 2025 | 8.69 Mn |
| Sep 27, 2025 | 10.81 Mn |
| Jun 28, 2025 | 10.24 Mn |
| Mar 29, 2025 | 10.09 Mn |
| Dec 28, 2024 | 9.57 Mn |
| Sep 28, 2024 | 12.05 Mn |
| Jun 29, 2024 | 12.09 Mn |
| Mar 30, 2024 | 12.47 Mn |
| Dec 30, 2023 | 11.77 Mn |
| Sep 30, 2023 | 13.83 Mn |
| Jul 1, 2023 | 12.61 Mn |
| Apr 1, 2023 | 12.99 Mn |
| Dec 31, 2022 | 12.33 Mn |
| Oct 1, 2022 | 16.31 Mn |
| Jul 2, 2022 | 15.09 Mn |
| Apr 2, 2022 | 13.91 Mn |
| Jan 1, 2022 | 13.22 Mn |
| Oct 2, 2021 | 13.68 Mn |
API Access
Ark Restaurants Accumulated 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=accumulated-expenses&ticker=ARKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();