Ark Restaurants (ARKR) Revenue (2010 - 2026)
Ark Restaurants' Revenue was $40.88 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 6.5% from $43.72 million a year earlier but up 11.7% from the prior quarter.
Ark Restaurants (ARKR) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ark Restaurants' Revenue was $155.54 million through Jun 27, 2026, down 9.5% year-over-year; for FY2025 (ended Sep 27, 2025), it was $165.75 million, down 9.7% from FY2024.
- Revenue shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In earlier fiscal years, Revenue was $183.55 million in FY2024 (-0.7%), $184.79 million in FY2023 (+0.6%), $183.67 million in FY2022 (+39.3%) and $131.87 million in FY2021 (+23.8%).
- Quarterly Revenue has moved between $36.58 million (fiscal Q2 2026) and $53.22 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Revenue has declined for nine straight quarters, with an average decline of 8.1% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q1 2022 (growth of 116.7%); the worst was fiscal Q4 2025 (a decline of 14.0%).
- Per Business Quant data, ARKR's Revenue in the three fiscal quarters before Q3 2026 was $36.58 million (Q2 2026), $40.75 million (Q1 2026) and $37.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 1.68 Bn |
| 10 | Ark Restaurants | 16.23 Mn | -25.84 Mn | 24.49 Mn | 40.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 40.88 Mn |
| Mar 28, 2026 | 36.58 Mn |
| Dec 27, 2025 | 40.75 Mn |
| Sep 27, 2025 | 37.32 Mn |
| Jun 28, 2025 | 43.72 Mn |
| Mar 29, 2025 | 39.73 Mn |
| Dec 28, 2024 | 44.99 Mn |
| Sep 28, 2024 | 43.41 Mn |
| Jun 29, 2024 | 50.40 Mn |
| Mar 30, 2024 | 42.26 Mn |
| Dec 30, 2023 | 47.49 Mn |
| Sep 30, 2023 | 44.40 Mn |
| Jul 1, 2023 | 51.05 Mn |
| Apr 1, 2023 | 41.90 Mn |
| Dec 31, 2022 | 47.45 Mn |
| Oct 1, 2022 | 46.89 Mn |
| Jul 2, 2022 | 53.22 Mn |
| Apr 2, 2022 | 39.59 Mn |
| Jan 1, 2022 | 43.99 Mn |
| Oct 2, 2021 | 42.84 Mn |
Ark Restaurants 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=revenue&ticker=ARKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();