Caseys General Stores (CASY) EBIT (2009 - 2026)
Caseys General Stores' EBIT was $485.08 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 17.1% from $414.27 million a year earlier and up 38.5% from the prior quarter.
Powered by 
Analysis
Caseys General Stores (CASY) EBIT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Caseys General Stores' EBIT was $1.55 billion through Jul 31, 2026, up 22.5% year-over-year; for FY2026 (ended Apr 30, 2026), it was $1.48 billion, up 23.6% from FY2025.
- EBIT has now increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 15.6% (FY2021 to FY2026).
- In earlier fiscal years, EBIT was $1.2 billion in FY2025 (+13.3%), $1.06 billion in FY2024 (+11.2%), $952.46 million in FY2023 (+18.9%) and $801.24 million in FY2022 (+11.4%).
- The fiscal Q1 2027 figure marks the highest quarterly EBIT in data going back to fiscal Q1 2010.
- Compared with a year earlier, EBIT has increased for ten straight quarters, with growth averaging 20.1% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was fiscal Q3 2022 (growth of 38.0%); the worst was fiscal Q2 2022 (a decline of 2.0%).
- Per Business Quant data, CASY's EBIT in the three fiscal quarters before Q1 2027 was $350.33 million (Q4 2026), $308.91 million (Q3 2026) and $410.1 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.30 Bn | 900.73 Bn | 49.13 Bn | 9.38 Bn |
| 2 | Costco Wholesale | 442.04 Bn | 365.32 Bn | 12.19 Bn | 3.80 Bn |
| 3 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn | 983.00 Mn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn | 971.00 Mn |
| 5 | Dollar General | 29.40 Bn | 24.07 Bn | 3.68 Bn | 769.16 Mn |
| 6 | Caseys General Stores | 25.66 Bn | 23.65 Bn | 1.24 Bn | 485.08 Mn |
| 7 | Dollar Tree | 23.48 Bn | 20.11 Bn | 2.10 Bn | 690.10 Mn |
| 8 | US Foods Holding | 22.05 Bn | 21.85 Bn | 1.92 Bn | 443.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn | 467.12 Mn |
| 10 | Performance Food | 14.93 Bn | 14.71 Bn | 2.17 Bn | 323.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 485.08 Mn |
| Apr 30, 2026 | 350.33 Mn |
| Jan 31, 2026 | 308.91 Mn |
| Oct 31, 2025 | 410.10 Mn |
| Jul 31, 2025 | 414.27 Mn |
| Apr 30, 2025 | 263.02 Mn |
| Jan 31, 2025 | 242.37 Mn |
| Oct 31, 2024 | 348.88 Mn |
| Jul 31, 2024 | 345.78 Mn |
| Apr 30, 2024 | 219.03 Mn |
| Jan 31, 2024 | 217.62 Mn |
| Oct 31, 2023 | 305.86 Mn |
| Jul 31, 2023 | 316.90 Mn |
| Apr 30, 2023 | 166.02 Mn |
| Jan 31, 2023 | 221.73 Mn |
| Oct 31, 2022 | 271.74 Mn |
| Jul 31, 2022 | 292.98 Mn |
| Apr 30, 2022 | 165.84 Mn |
| Jan 31, 2022 | 173.50 Mn |
| Oct 31, 2021 | 216.95 Mn |
API Access
Caseys General Stores EBIT 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=ebit&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();