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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn |
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 |
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_KEY
import 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();