Ark Restaurants (ARKR) Total Liabilities (2010 - 2026)
Ark Restaurants' Total Liabilities came in at $97.39 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 4.7% from $102.15 million a year earlier and down 3.1% from the prior quarter.
Ark Restaurants (ARKR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ark Restaurants' Total Liabilities was $100.78 million, down 10.3% from FY2024.
- Total Liabilities has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $112.4 million in FY2024 (-10.2%), $125.23 million in FY2023 (-16.2%), $149.42 million in FY2022 (+36.1%) and $109.76 million in FY2021 (-5.5%).
- The five-year range for quarterly Total Liabilities is $97.35 million (fiscal Q1 2026) to $149.42 million (fiscal Q4 2022).
- Year-over-year, Total Liabilities has declined for 12 consecutive quarters, with an average decline of 9.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q4 2022 (growth of 36.1%), and the weakest in fiscal Q4 2023 (a decline of 16.2%).
- Business Quant data shows ARKR's Total Liabilities at $100.46 million (Q2 2026), $97.35 million (Q1 2026) and $100.78 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 2.09 Bn |
| 10 | Ark Restaurants | 16.23 Mn | -25.84 Mn | 24.49 Mn | 97.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 97.39 Mn |
| Mar 28, 2026 | 100.46 Mn |
| Dec 27, 2025 | 97.35 Mn |
| Sep 27, 2025 | 100.78 Mn |
| Jun 28, 2025 | 102.15 Mn |
| Mar 29, 2025 | 104.34 Mn |
| Dec 28, 2024 | 106.10 Mn |
| Sep 28, 2024 | 112.40 Mn |
| Jun 29, 2024 | 117.29 Mn |
| Mar 30, 2024 | 119.49 Mn |
| Dec 30, 2023 | 121.27 Mn |
| Sep 30, 2023 | 125.23 Mn |
| Jul 1, 2023 | 124.04 Mn |
| Apr 1, 2023 | 132.74 Mn |
| Dec 31, 2022 | 141.98 Mn |
| Oct 1, 2022 | 149.42 Mn |
| Jul 2, 2022 | 123.29 Mn |
| Apr 2, 2022 | 102.05 Mn |
| Jan 1, 2022 | 105.40 Mn |
| Oct 2, 2021 | 109.76 Mn |
Ark Restaurants Total 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-liabilities&ticker=ARKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();