Cracker Barrel Old Country Store (CBRL) Return on Sales [ROS] (2009 - 2026)
Cracker Barrel Old Country Store (CBRL) recorded Return on Sales [ROS] of 1.55% in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 1.09 percentage points from 0.46% a year earlier and up 0.70 percentage points from the prior quarter.
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Analysis
Cracker Barrel Old Country Store (CBRL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Cracker Barrel Old Country Store reported Return on Sales [ROS] of -0.38%, down 1.96 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -13.37 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 1.58% in FY2025 (+0.28 pp), 1.30% in FY2024 (-2.20 pp), 3.50% in FY2023 (-1.18 pp) and 4.68% in FY2022 (-8.31 pp).
- The fiscal Q4 2026 figure is the highest quarterly Return on Sales [ROS] since fiscal Q3 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -0.81 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 4.17 percentage points in fiscal Q3 2025, against a drop of 31.21 percentage points in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 0.84% (Q3 2026), 0.05% (Q2 2026) and -4.11% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | Cracker Barrel Old Country Store | 1.25 Bn | 1.17 Bn | 605.13 Mn | 1.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.55% |
| May 1, 2026 | 0.84% |
| Jan 30, 2026 | 0.05% |
| Oct 31, 2025 | -4.11% |
| Aug 1, 2025 | 0.46% |
| May 2, 2025 | 1.81% |
| Jan 31, 2025 | 3.07% |
| Nov 1, 2024 | 0.84% |
| Aug 2, 2024 | 2.48% |
| Apr 26, 2024 | -2.36% |
| Jan 26, 2024 | 3.29% |
| Oct 27, 2023 | 1.39% |
| Jul 28, 2023 | 4.93% |
| Apr 28, 2023 | 2.02% |
| Jan 27, 2023 | 4.17% |
| Oct 28, 2022 | 2.81% |
| Jul 29, 2022 | 3.97% |
| Apr 29, 2022 | 3.85% |
| Jan 28, 2022 | 5.41% |
| Oct 29, 2021 | 5.47% |
API Access
Cracker Barrel Old Country Store 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=CBRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CBRL", "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=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();