Ark Restaurants (ARKR) Cost of Revenue (2017 - 2026)
Ark Restaurants' Cost of Revenue came in at $16.39 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 6.4% from $17.5 million a year earlier and down 1.1% from the prior quarter.
Ark Restaurants (ARKR) Cost of Revenue (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Ark Restaurants reported Cost of Revenue of $65.47 million, down 7.8% year-over-year; for FY2025 (ended Sep 27, 2025), it was $68.95 million, down 7.0% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $74.14 million in FY2024 (+1.4%), $73.1 million in FY2023 (-2.2%), $74.75 million in FY2022 (+39.2%) and $53.7 million in FY2021 (+22.1%).
- The five-year range for quarterly Cost of Revenue is $16.07 million (fiscal Q4 2021) to $20.71 million (fiscal Q3 2022).
- Year-over-year, Cost of Revenue has declined for seven consecutive quarters, with an average decline of 5.8% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2022 (growth of 88.8%), and the weakest in fiscal Q4 2025 (a decline of 11.4%).
- Business Quant data shows ARKR's Cost of Revenue at $16.57 million (Q2 2026), $16.34 million (Q1 2026) and $16.18 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Ark Restaurants | 16.25 Mn | -25.82 Mn | 24.49 Mn | 16.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 16.39 Mn |
| Mar 28, 2026 | 16.57 Mn |
| Dec 27, 2025 | 16.34 Mn |
| Sep 27, 2025 | 16.18 Mn |
| Jun 28, 2025 | 17.50 Mn |
| Mar 29, 2025 | 17.02 Mn |
| Dec 28, 2024 | 18.26 Mn |
| Sep 28, 2024 | 18.26 Mn |
| Jun 29, 2024 | 19.57 Mn |
| Mar 30, 2024 | 17.91 Mn |
| Dec 30, 2023 | 18.40 Mn |
| Sep 30, 2023 | 18.04 Mn |
| Jul 1, 2023 | 19.39 Mn |
| Apr 1, 2023 | 17.05 Mn |
| Dec 31, 2022 | 18.62 Mn |
| Oct 1, 2022 | 19.40 Mn |
| Jul 2, 2022 | 20.71 Mn |
| Apr 2, 2022 | 16.87 Mn |
| Jan 1, 2022 | 17.77 Mn |
| Oct 2, 2021 | 16.07 Mn |
Ark Restaurants Cost of Revenue 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=cost-of-revenue&ticker=ARKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();