Caseys General Stores (CASY) Change in Receivables (2009 - 2026)
Caseys General Stores (CASY) posted Change in Receivables of $7.3 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 54.0% from $15.87 million a year earlier and down 86.1% from the prior quarter.
Caseys General Stores (CASY) Change in Receivables (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Receivables at Caseys General Stores was $51.51 million; for FY2026 (ended Apr 30, 2026), it was $60.08 million.
- Annual Change in Receivables shows a five-year compound annual growth rate of 18.0% (FY2021 to FY2026).
- In prior fiscal years, Caseys General Stores' Change in Receivables was $1.3 million in FY2025 (-95.8%), $31.25 million in FY2024 (+149.6%), $12.52 million in FY2023 (-62.1%) and $33.03 million in FY2022 (+25.7%).
- Quarterly Change in Receivables has run from a low of -$30.16 million in fiscal Q3 2023 to a high of $52.6 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Change in Receivables increased in two of the last four quarters, with growth averaging 60.9%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was fiscal Q4 2026, with growth of 293.6%; the weakest was fiscal Q3 2022, with a decline of 81.7%.
- According to Business Quant data, Change in Receivables for the three prior fiscal quarters was $52.6 million (Q4 2026), -$5.75 million (Q3 2026) and -$2.65 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 944.30 Bn | 900.73 Bn | 49.13 Bn | 386.00 Mn |
| 2 | Costco Wholesale | 442.04 Bn | 365.32 Bn | 12.19 Bn | - |
| 3 | Sysco | 39.13 Bn | 33.38 Bn | 4.13 Bn | 134.00 Mn |
| 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 | 7.30 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 | 88.00 Mn |
| 9 | Tractor Supply | 17.20 Bn | 16.36 Bn | 1.68 Bn | - |
| 10 | Performance Food | 14.93 Bn | 14.71 Bn | 2.17 Bn | 182.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 7.30 Mn |
| Apr 30, 2026 | 52.60 Mn |
| Jan 31, 2026 | -5.75 Mn |
| Oct 31, 2025 | -2.65 Mn |
| Jul 31, 2025 | 15.87 Mn |
| Apr 30, 2025 | 13.36 Mn |
| Jan 31, 2025 | -12.92 Mn |
| Oct 31, 2024 | -12.28 Mn |
| Jul 31, 2024 | 13.13 Mn |
| Apr 30, 2024 | 16.10 Mn |
| Jan 31, 2024 | -6.75 Mn |
| Oct 31, 2023 | 8.72 Mn |
| Jul 31, 2023 | 13.18 Mn |
| Apr 30, 2023 | -6.78 Mn |
| Jan 31, 2023 | -30.16 Mn |
| Oct 31, 2022 | 11.60 Mn |
| Jul 31, 2022 | 37.86 Mn |
| Apr 30, 2022 | 23.02 Mn |
| Jan 31, 2022 | 1.92 Mn |
| Oct 31, 2021 | -10.42 Mn |
Caseys General Stores Change in 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=change-in-receivables&ticker=CASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();