Ark Restaurants (ARKR) Cash & Equivalents (2010 - 2026)
Ark Restaurants (ARKR) reported Cash & Equivalents of $9.49 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 23.0% from $12.33 million a year earlier and down 17.4% from the prior quarter.
Ark Restaurants (ARKR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Ark Restaurants posted Cash & Equivalents of $11.32 million, up 10.2% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- By fiscal year, Cash & Equivalents came in at $10.27 million in FY2024 (-23.4%), $13.42 million in FY2023 (-42.8%), $23.44 million in FY2022 (+22.3%) and $19.17 million in FY2021 (+13.5%).
- Five-year quarterly Cash & Equivalents spans a low of $9.14 million in fiscal Q1 2026 and a high of $26.6 million in fiscal Q3 2022.
- Year over year, Cash & Equivalents gained in five of the last eight quarters, with an average decline of 5.1%.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2022 (growth of 86.5%); the low point was fiscal Q3 2023 (a decline of 47.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $11.49 million (Q2 2026), $9.14 million (Q1 2026) and $11.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 202.43 Mn |
| 10 | Ark Restaurants | 16.25 Mn | -25.82 Mn | 24.49 Mn | 9.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 9.49 Mn |
| Mar 28, 2026 | 11.49 Mn |
| Dec 27, 2025 | 9.14 Mn |
| Sep 27, 2025 | 11.32 Mn |
| Jun 28, 2025 | 12.33 Mn |
| Mar 29, 2025 | 11.12 Mn |
| Dec 28, 2024 | 13.10 Mn |
| Sep 28, 2024 | 10.27 Mn |
| Jun 29, 2024 | 11.47 Mn |
| Mar 30, 2024 | 10.41 Mn |
| Dec 30, 2023 | 12.12 Mn |
| Sep 30, 2023 | 13.42 Mn |
| Jul 1, 2023 | 13.99 Mn |
| Apr 1, 2023 | 17.89 Mn |
| Dec 31, 2022 | 19.43 Mn |
| Oct 1, 2022 | 23.44 Mn |
| Jul 2, 2022 | 26.60 Mn |
| Apr 2, 2022 | 18.54 Mn |
| Jan 1, 2022 | 20.17 Mn |
| Oct 2, 2021 | 19.17 Mn |
Ark Restaurants Cash & Equivalents 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=cash-and-equivalents&ticker=ARKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();