Caseys General Stores (CASY) EBT (2009 - 2026)
Caseys General Stores' EBT was $347.03 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 24.6% from $278.46 million a year earlier and up 62.8% from the prior quarter.
Caseys General Stores (CASY) EBT (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Caseys General Stores' EBT was $1.01 billion through Jul 31, 2026, up 33.4% year-over-year; for FY2026 (ended Apr 30, 2026), it was $937.02 million, up 31.5% from FY2025.
- EBT has now increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 18.1% (FY2021 to FY2026).
- In earlier fiscal years, EBT was $712.45 million in FY2025 (+8.6%), $656.16 million in FY2024 (+11.7%), $587.52 million in FY2023 (+33.3%) and $440.73 million in FY2022 (+8.2%).
- The fiscal Q1 2027 figure marks the highest quarterly EBT in data going back to fiscal Q1 2010.
- Compared with a year earlier, EBT has increased for six straight quarters, with growth averaging 25.7% over the last eight quarters.
- The best year-over-year quarter for EBT over five years was fiscal Q3 2022 (growth of 70.2%); the worst was fiscal Q3 2024 (a decline of 13.2%).
- Per Business Quant data, CASY's EBT in the three fiscal quarters before Q1 2027 was $213.13 million (Q4 2026), $171.45 million (Q3 2026) and $273.99 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 941.59 Bn | 898.03 Bn | 49.13 Bn | 8.01 Bn |
| 2 | Costco Wholesale | 442.19 Bn | 365.47 Bn | 12.19 Bn | 4.01 Bn |
| 3 | Sysco | 39.63 Bn | 33.88 Bn | 4.13 Bn | 720.00 Mn |
| 4 | Kroger | 38.22 Bn | 24.37 Bn | 7.86 Bn | 840.00 Mn |
| 5 | Dollar General | 29.63 Bn | 24.31 Bn | 3.68 Bn | 726.28 Mn |
| 6 | Caseys General Stores | 25.53 Bn | 23.52 Bn | 1.24 Bn | 347.03 Mn |
| 7 | Dollar Tree | 23.76 Bn | 20.39 Bn | 2.10 Bn | 686.40 Mn |
| 8 | US Foods Holding | 22.42 Bn | 22.21 Bn | 1.92 Bn | 369.00 Mn |
| 9 | Tractor Supply | 17.25 Bn | 16.42 Bn | 1.68 Bn | 450.01 Mn |
| 10 | Performance Food | 15.11 Bn | 14.89 Bn | 2.17 Bn | 221.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 347.03 Mn |
| Apr 30, 2026 | 213.13 Mn |
| Jan 31, 2026 | 171.45 Mn |
| Oct 31, 2025 | 273.99 Mn |
| Jul 31, 2025 | 278.46 Mn |
| Apr 30, 2025 | 127.66 Mn |
| Jan 31, 2025 | 107.75 Mn |
| Oct 31, 2024 | 239.74 Mn |
| Jul 31, 2024 | 237.31 Mn |
| Apr 30, 2024 | 112.19 Mn |
| Jan 31, 2024 | 114.52 Mn |
| Oct 31, 2023 | 207.95 Mn |
| Jul 31, 2023 | 221.50 Mn |
| Apr 30, 2023 | 72.59 Mn |
| Jan 31, 2023 | 131.94 Mn |
| Oct 31, 2022 | 180.12 Mn |
| Jul 31, 2022 | 202.87 Mn |
| Apr 30, 2022 | 72.68 Mn |
| Jan 31, 2022 | 83.54 Mn |
| Oct 31, 2021 | 129.17 Mn |
Caseys General Stores EBT 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=ebt&ticker=CASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();