Ark Restaurants (ARKR) Return on Sales [ROS] (2009 - 2026)
Ark Restaurants (ARKR) recorded Return on Sales [ROS] of -0.34% in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 7.47 percentage points from -7.81% a year earlier and up 4.18 percentage points from the prior quarter.
Ark Restaurants (ARKR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Ark Restaurants' Return on Sales [ROS] came in at -1.56% as of Jun 27, 2026, up 3.01 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it was -2.45%, down 0.11 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +4.87 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at -2.34% in FY2024 (+0.28 pp), -2.62% in FY2023 (-7.99 pp), 5.37% in FY2022 (+0.66 pp) and 4.71% in FY2021 (+12.03 pp).
- Quarterly Return on Sales [ROS] has ranged from -24.11% in fiscal Q4 2023 to 13.77% in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in five of the last eight quarters, with an average year-over-year change of +1.89 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 26.04 percentage points in fiscal Q4 2021, against a drop of 27.14 percentage points in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -4.53% (Q2 2026), 2.68% (Q1 2026) and -4.61% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 50.23% |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 13.72% |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 112.80% |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 27.56% |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 27.56% |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 12.97% |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 6.55% |
| 10 | Ark Restaurants | 16.30 Mn | -25.77 Mn | 24.49 Mn | -0.34% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -0.34% |
| Mar 28, 2026 | -4.53% |
| Dec 27, 2025 | 2.68% |
| Sep 27, 2025 | -4.61% |
| Jun 28, 2025 | -7.81% |
| Mar 29, 2025 | -11.62% |
| Dec 28, 2024 | 12.65% |
| Sep 28, 2024 | -12.71% |
| Jun 29, 2024 | 1.64% |
| Mar 30, 2024 | -2.84% |
| Dec 30, 2023 | 3.38% |
| Sep 30, 2023 | -24.11% |
| Jul 1, 2023 | 7.12% |
| Apr 1, 2023 | 0.05% |
| Dec 31, 2022 | 4.64% |
| Oct 1, 2022 | 3.04% |
| Jul 2, 2022 | 10.19% |
| Apr 2, 2022 | 0.57% |
| Jan 1, 2022 | 6.35% |
| Oct 2, 2021 | 13.77% |
Ark Restaurants Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ARKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();