Caseys General Stores (CASY) Acquisitions (2009 - 2026)
Caseys General Stores' Acquisitions came in at $43.9 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 362.4% from $9.5 million a year earlier but down 18.2% from the prior quarter.
Caseys General Stores (CASY) Acquisitions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Caseys General Stores reported Acquisitions of $175.99 million, down 85.7% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $141.58 million, down 88.6% from FY2025.
- Acquisitions carries a five-year compound annual growth rate of 72.2% (FY2021 to FY2026).
- Going back by fiscal year, Acquisitions was $1.24 billion in FY2025 (+275.5%), $330.03 million in FY2024 (+285.7%), $85.57 million in FY2023 (-90.5%) and $901.64 million in FY2022.
- The five-year range for quarterly Acquisitions is $438,000 (fiscal Q3 2026) to $1.17 billion (fiscal Q3 2025).
- Year-over-year, Acquisitions increased in four of the last eight quarters, with growth averaging 128.8%.
- The fastest year-over-year change in Acquisitions over five years came in fiscal Q4 2022 (growth of 970.1%), and the weakest in fiscal Q3 2026 (a decline of 100.0%).
- Business Quant data shows CASY's Acquisitions at $53.69 million (Q4 2026), $438,000 (Q3 2026) and $77.96 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | 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
| 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 |
Caseys General Stores Acquisitions 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=acquisitions&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();