Caseys General Stores (CASY) Net of Acquisitions & Divestments (2009 - 2026)
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Analysis
Caseys General Stores (CASY) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (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 | -43.90 Mn |
| 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 | -2.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn | -129.84 Mn |
| 10 | Performance Food | 14.93 Bn | 14.71 Bn | 2.17 Bn | 800,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -43.90 Mn |
| Apr 30, 2026 | -53.69 Mn |
| Jan 31, 2026 | -438,000.00 |
| Oct 31, 2025 | -77.96 Mn |
| Jul 31, 2025 | -9.50 Mn |
| Apr 30, 2025 | -27.68 Mn |
| Jan 31, 2025 | -1.17 Bn |
| Oct 31, 2024 | -28.23 Mn |
| Jul 31, 2024 | -18.11 Mn |
| Apr 30, 2024 | -33.22 Mn |
| Jan 31, 2024 | -157.45 Mn |
| Oct 31, 2023 | -126.06 Mn |
| Jul 31, 2023 | -13.30 Mn |
| Apr 30, 2023 | -72.37 Mn |
| Jan 31, 2023 | -10.51 Mn |
| Oct 31, 2022 | -1.63 Mn |
| Jul 31, 2022 | -1.07 Mn |
| Apr 30, 2022 | -38.27 Mn |
| Jan 31, 2022 | -237.25 Mn |
| Oct 31, 2021 | -8.84 Mn |
API Access
Caseys General Stores Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();