Caseys General Stores (CASY) Receivables - Net (2010 - 2026)
Caseys General Stores (CASY) recorded Receivables - Net 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 - Net (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Caseys General Stores reported Receivables - Net of $243.5 million, up 34.7% from FY2025.
- Annual Receivables - Net 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 - Net 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 - Net in data going back to fiscal Q4 2010.
- On a year-over-year basis, Receivables - Net has increased for 11 consecutive quarters, with growth averaging 20.2% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net 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) |
|---|---|---|---|---|
| 1 | Walmart | 847.32 Bn | 810.03 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 410.07 Bn | 339.37 Bn | 9.01 Bn |
| 3 | Sysco | 37.60 Bn | 31.85 Bn | 4.13 Bn |
| 4 | Kroger | 35.90 Bn | 22.05 Bn | 7.86 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 |
| 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 |
| 9 | Tractor Supply | 16.44 Bn | 15.61 Bn | 1.68 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 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 - Net 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-net&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();