Ark Restaurants (ARKR) Change in Accured Expenses (2010 - 2026)
Ark Restaurants (ARKR) posted Change in Accured Expenses of $63,000 for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 83.6% from $385,000 a year earlier and down 85.2% from the prior quarter.
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Analysis
Ark Restaurants (ARKR) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Change in Accured Expenses at Ark Restaurants was -$1.06 million; for FY2025 (ended Sep 27, 2025), it came in at -$1.07 million.
- In prior fiscal years, Ark Restaurants' Change in Accured Expenses was -$2.51 million in FY2024, -$2.48 million in FY2023, $2.7 million in FY2022 (+199.9%) and $900,000 in FY2021 (-50.2%).
- Quarterly Change in Accured Expenses has run from a low of -$3.98 million in fiscal Q1 2023 to a high of $1.23 million in fiscal Q3 2022 over five years.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q2 2022, with growth of 13.3%; the weakest was fiscal Q3 2026, with a decline of 83.6%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was $425,000 (Q2 2026), -$2.11 million (Q1 2026) and $569,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 100.69 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 15.18 Mn |
| 10 | Ark Restaurants | 16.25 Mn | -25.82 Mn | 24.49 Mn | 63,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 63,000.00 |
| Mar 28, 2026 | 425,000.00 |
| Dec 27, 2025 | -2.11 Mn |
| Sep 27, 2025 | 569,000.00 |
| Jun 28, 2025 | 385,000.00 |
| Mar 29, 2025 | 656,000.00 |
| Dec 28, 2024 | -2.68 Mn |
| Sep 28, 2024 | -768,000.00 |
| Jun 29, 2024 | -376,000.00 |
| Mar 30, 2024 | 702,000.00 |
| Dec 30, 2023 | -2.06 Mn |
| Sep 30, 2023 | 1.22 Mn |
| Jul 1, 2023 | -375,000.00 |
| Apr 1, 2023 | 656,000.00 |
| Dec 31, 2022 | -3.98 Mn |
| Oct 1, 2022 | 1.22 Mn |
| Jul 2, 2022 | 1.23 Mn |
| Apr 2, 2022 | 715,000.00 |
| Jan 1, 2022 | -462,000.00 |
| Oct 2, 2021 | -1.58 Mn |
API Access
Ark Restaurants Change in Accured 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=change-in-accured-expenses&ticker=ARKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();