Caseys General Stores (CASY) Enterprise Value (2009 - 2026)
Caseys General Stores' Enterprise Value was $31.67 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 67.7% from $18.88 billion a year earlier and up 6.2% from the prior quarter.
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Analysis
Caseys General Stores (CASY) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Caseys General Stores' Enterprise Value was $30.19 billion through Jul 31, 2026, up 69.5% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $29.82 billion, up 77.0% from FY2025.
- Enterprise Value has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 30.5% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $16.84 billion in FY2025 (+45.0%), $11.62 billion in FY2024 (+42.6%), $8.15 billion in FY2023 (+11.4%) and $7.31 billion in FY2022 (-7.1%).
- The fiscal Q1 2027 figure marks the highest quarterly Enterprise Value in data going back to fiscal Q1 2010.
- Compared with a year earlier, Enterprise Value has increased for 17 straight quarters, with growth averaging 49.9% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q4 2026 (growth of 77.0%); the worst was fiscal Q4 2022 (a decline of 7.1%).
- Per Business Quant data, CASY's Enterprise Value in the three fiscal quarters before Q1 2027 was $29.82 billion (Q4 2026), $21.95 billion (Q3 2026) and $18.53 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 944.30 Bn | 900.73 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 442.04 Bn | 365.32 Bn | 12.19 Bn |
| 3 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn |
| 4 | Kroger | 38.19 Bn | 24.34 Bn | 7.86 Bn |
| 5 | Dollar General | 29.40 Bn | 24.07 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.66 Bn | 23.65 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.48 Bn | 20.11 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.05 Bn | 21.85 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn |
| 10 | Performance Food | 14.93 Bn | 14.71 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 31.67 Bn |
| Apr 30, 2026 | 29.82 Bn |
| Jan 31, 2026 | 21.95 Bn |
| Oct 31, 2025 | 18.53 Bn |
| Jul 31, 2025 | 18.88 Bn |
| Apr 30, 2025 | 16.84 Bn |
| Jan 31, 2025 | 15.26 Bn |
| Oct 31, 2024 | 14.27 Bn |
| Jul 31, 2024 | 14.09 Bn |
| Apr 30, 2024 | 11.62 Bn |
| Jan 31, 2024 | 9.87 Bn |
| Oct 31, 2023 | 9.68 Bn |
| Jul 31, 2023 | 8.98 Bn |
| Apr 30, 2023 | 8.15 Bn |
| Jan 31, 2023 | 8.38 Bn |
| Oct 31, 2022 | 8.26 Bn |
| Jul 31, 2022 | 7.24 Bn |
| Apr 30, 2022 | 7.31 Bn |
| Jan 31, 2022 | 6.78 Bn |
| Oct 31, 2021 | 6.80 Bn |
API Access
Caseys General Stores Enterprise Value 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=enterprise-value&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();