Ark Restaurants (ARKR) EV to EBITDA (2009 - 2026)
Ark Restaurants' EV to EBITDA was 165.17 in fiscal Q3 2026 (quarter ended Jun 27, 2026).
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Analysis
Ark Restaurants (ARKR) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ark Restaurants' EV to EBITDA was -358.60 through Jun 27, 2026; for FY2022 (ended Oct 1, 2022), it was 2.74, down 27.0% from FY2021.
- In earlier fiscal years, EV to EBITDA was 3.75 in FY2021, 7.65 in FY2019 (+0.1%) and 7.64 in FY2018 (+1.2%).
- The fiscal Q3 2026 figure marks the highest quarterly EV to EBITDA in data going back to fiscal Q2 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn |
| 10 | Ark Restaurants | 16.30 Mn | -25.77 Mn | 24.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 104.95 |
| Dec 28, 2024 | 8.15 |
| Jul 1, 2023 | 4.68 |
| Apr 1, 2023 | 3.57 |
| Dec 31, 2022 | 2.63 |
| Oct 1, 2022 | 2.73 |
| Jul 2, 2022 | 2.10 |
| Apr 2, 2022 | 2.59 |
| Jan 1, 2022 | 2.50 |
| Oct 2, 2021 | 3.73 |
| Jul 3, 2021 | 32.29 |
| Mar 28, 2020 | 4.83 |
| Dec 28, 2019 | 6.65 |
| Sep 28, 2019 | 7.62 |
| Jun 29, 2019 | 6.19 |
| Mar 29, 2019 | 6.77 |
| Dec 29, 2018 | 6.58 |
| Sep 29, 2018 | 7.62 |
| Jun 30, 2018 | 7.80 |
| Mar 31, 2018 | 9.14 |
API Access
Ark Restaurants EV to EBITDA 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=ev-to-ebitda&ticker=ARKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();