Caseys General Stores (CASY) Return on Sales [ROS] (2009 - 2026)
Caseys General Stores' Return on Sales [ROS] was 8.54% in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 0.53 percentage points from 9.07% a year earlier but up 0.88 percentage points from the prior quarter.
Caseys General Stores (CASY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Caseys General Stores' Return on Sales [ROS] was 8.32% through Jul 31, 2026, up 0.59 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at 8.45%, up 0.92 percentage points from FY2025.
- Return on Sales [ROS] has now increased for four consecutive fiscal years, with a five-year change of +0.19 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 7.53% in FY2025 (+0.40 pp), 7.13% in FY2024 (+0.82 pp), 6.31% in FY2023 (+0.12 pp) and 6.19% in FY2022 (-2.07 pp).
- Quarterly Return on Sales [ROS] has moved between 4.79% (fiscal Q4 2022) and 9.10% (fiscal Q2 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +0.58 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2026 (a gain of 1.68 percentage points); the worst was fiscal Q2 2022 (a drop of 3.34 percentage points).
- Per Business Quant data, CASY's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was 7.66% (Q4 2026), 7.89% (Q3 2026) and 9.10% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 955.12 Bn | 911.55 Bn | 49.13 Bn | 4.99% |
| 2 | Costco Wholesale | 448.30 Bn | 371.58 Bn | 12.19 Bn | 3.97% |
| 3 | Kroger | 40.72 Bn | 26.87 Bn | 7.86 Bn | 2.80% |
| 4 | Sysco | 39.28 Bn | 33.53 Bn | 4.13 Bn | 4.44% |
| 5 | Dollar General | 29.41 Bn | 24.09 Bn | 3.68 Bn | 6.81% |
| 6 | Caseys General Stores | 26.05 Bn | 24.05 Bn | 1.24 Bn | 8.54% |
| 7 | Dollar Tree | 23.76 Bn | 20.38 Bn | 2.10 Bn | 14.11% |
| 8 | US Foods Holding | 22.25 Bn | 22.05 Bn | 1.92 Bn | 4.21% |
| 9 | Tractor Supply | 17.66 Bn | 16.83 Bn | 1.68 Bn | 10.29% |
| 10 | Performance Food | 14.88 Bn | 14.67 Bn | 2.17 Bn | 1.80% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 8.54% |
| Apr 30, 2026 | 7.66% |
| Jan 31, 2026 | 7.89% |
| Oct 31, 2025 | 9.10% |
| Jul 31, 2025 | 9.07% |
| Apr 30, 2025 | 6.59% |
| Jan 31, 2025 | 6.21% |
| Oct 31, 2024 | 8.84% |
| Jul 31, 2024 | 8.44% |
| Apr 30, 2024 | 6.08% |
| Jan 31, 2024 | 6.54% |
| Oct 31, 2023 | 7.53% |
| Jul 31, 2023 | 8.19% |
| Apr 30, 2023 | 4.99% |
| Jan 31, 2023 | 6.65% |
| Oct 31, 2022 | 6.83% |
| Jul 31, 2022 | 6.58% |
| Apr 30, 2022 | 4.79% |
| Jan 31, 2022 | 5.69% |
| Oct 31, 2021 | 6.65% |
Caseys General Stores 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=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CASY", "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=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();