Caseys General Stores (CASY) Revenue (2009 - 2026)
Caseys General Stores' Revenue was $5.68 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 24.3% from $4.57 billion a year earlier and up 24.2% from the prior quarter.
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Analysis
Caseys General Stores (CASY) Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Caseys General Stores' Revenue was $18.67 billion through Jul 31, 2026, up 13.8% year-over-year; for FY2026 (ended Apr 30, 2026), it was $17.56 billion, up 10.2% from FY2025.
- Revenue shows a five-year compound annual growth rate of 15.1% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $15.94 billion in FY2025 (+7.3%), $14.86 billion in FY2024 (-1.5%), $15.09 billion in FY2023 (+16.5%) and $12.95 billion in FY2022 (+48.8%).
- The fiscal Q1 2027 figure marks the highest quarterly Revenue in data going back to fiscal Q1 2010.
- Compared with a year earlier, Revenue has increased for seven straight quarters, with growth averaging 11.3% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q3 2022 (growth of 51.8%); the worst was fiscal Q1 2024 (a decline of 13.1%).
- Per Business Quant data, CASY's Revenue in the three fiscal quarters before Q1 2027 was $4.57 billion (Q4 2026), $3.92 billion (Q3 2026) and $4.51 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 95.72 Bn |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 4.54 Bn |
| 10 | Performance Food | 15.21 Bn | 14.99 Bn | 2.17 Bn | 18.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.68 Bn |
| Apr 30, 2026 | 4.57 Bn |
| Jan 31, 2026 | 3.92 Bn |
| Oct 31, 2025 | 4.51 Bn |
| Jul 31, 2025 | 4.57 Bn |
| Apr 30, 2025 | 3.99 Bn |
| Jan 31, 2025 | 3.90 Bn |
| Oct 31, 2024 | 3.95 Bn |
| Jul 31, 2024 | 4.10 Bn |
| Apr 30, 2024 | 3.60 Bn |
| Jan 31, 2024 | 3.33 Bn |
| Oct 31, 2023 | 4.06 Bn |
| Jul 31, 2023 | 3.87 Bn |
| Apr 30, 2023 | 3.33 Bn |
| Jan 31, 2023 | 3.33 Bn |
| Oct 31, 2022 | 3.98 Bn |
| Jul 31, 2022 | 4.45 Bn |
| Apr 30, 2022 | 3.46 Bn |
| Jan 31, 2022 | 3.05 Bn |
| Oct 31, 2021 | 3.26 Bn |
API Access
Caseys General Stores Revenue 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=revenue&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();