Caseys General Stores (CASY) Receivables (2010 - 2026)
Caseys General Stores (CASY) recorded Receivables of $245.84 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 25.8% from $195.49 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Caseys General Stores (CASY) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Caseys General Stores reported Receivables of $243.5 million, up 34.7% from FY2025.
- Annual Receivables has increased for seven straight fiscal years, with a five-year compound annual growth rate of 25.0% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $180.75 million in FY2025 (+19.1%), $151.79 million in FY2024 (+25.9%), $120.55 million in FY2023 (+11.6%) and $108.03 million in FY2022 (+35.5%).
- The fiscal Q1 2027 figure is the highest quarterly Receivables in data going back to fiscal Q4 2010.
- On a year-over-year basis, Receivables has increased for 11 consecutive quarters, with growth averaging 20.2% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 73.8% in fiscal Q2 2023, against a decline of 8.3% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $243.5 million (Q4 2026), $186.76 million (Q3 2026) and $192.5 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn | 11.08 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn | 3.75 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn | 11.37 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 Bn | 2.19 Bn |
| 5 | Dollar General | 27.06 Bn | 21.73 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.17 Bn | 20.17 Bn | 1.24 Bn | 245.84 Mn |
| 7 | Dollar Tree | 21.26 Bn | 17.89 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 20.27 Bn | 20.07 Bn | 1.92 Bn | 2.48 Bn |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn | - |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 3.05 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 245.84 Mn |
| Apr 30, 2026 | 243.50 Mn |
| Jan 31, 2026 | 186.76 Mn |
| Oct 31, 2025 | 192.50 Mn |
| Jul 31, 2025 | 195.49 Mn |
| Apr 30, 2025 | 180.75 Mn |
| Jan 31, 2025 | 166.23 Mn |
| Oct 31, 2024 | 156.41 Mn |
| Jul 31, 2024 | 164.93 Mn |
| Apr 30, 2024 | 151.79 Mn |
| Jan 31, 2024 | 136.69 Mn |
| Oct 31, 2023 | 146.98 Mn |
| Jul 31, 2023 | 133.73 Mn |
| Apr 30, 2023 | 120.55 Mn |
| Jan 31, 2023 | 127.33 Mn |
| Oct 31, 2022 | 157.49 Mn |
| Jul 31, 2022 | 145.89 Mn |
| Apr 30, 2022 | 108.03 Mn |
| Jan 31, 2022 | 91.44 Mn |
| Oct 31, 2021 | 90.60 Mn |
API Access
Caseys General Stores Receivables 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=receivables&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();