Caseys General Stores (CASY) Buildings (2010 - 2026)
Caseys General Stores' Buildings was $3.83 billion in fiscal Q4 2026 (quarter ended Apr 30, 2026), up 8.2% from $3.54 billion a year earlier.
Analysis
Caseys General Stores (CASY) Buildings (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Caseys General Stores has reported Buildings for 17 quarters.
- Buildings has now increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- In earlier fiscal years, Buildings was $3.54 billion in FY2025 (+17.9%), $3 billion in FY2024 (+14.2%), $2.63 billion in FY2023 (+7.5%) and $2.45 billion in FY2022 (+13.1%).
- The fiscal Q4 2026 figure marks the highest quarterly Buildings in data going back to fiscal Q4 2010.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 3.83 Bn |
| Apr 30, 2025 | 3.54 Bn |
| Apr 30, 2024 | 3.00 Bn |
| Apr 30, 2023 | 2.63 Bn |
| Apr 30, 2022 | 2.45 Bn |
| Apr 30, 2021 | 2.16 Bn |
| Apr 30, 2020 | 1.97 Bn |
| Apr 30, 2019 | 1.77 Bn |
| Apr 30, 2018 | 1.62 Bn |
| Apr 30, 2017 | 1.42 Bn |
| Apr 30, 2016 | 1.28 Bn |
| Apr 30, 2015 | 1.14 Bn |
| Apr 30, 2014 | 1.00 Bn |
| Apr 30, 2013 | 904.73 Mn |
| Apr 30, 2012 | 807.80 Mn |
| Apr 30, 2011 | 724.17 Mn |
| Apr 30, 2010 | 621.88 Mn |
API Access
Caseys General Stores Buildings 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=buildings&ticker=CASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();