Caseys General Stores (CASY) Change in Receivables (2009 - 2026)
Caseys General Stores (CASY) posted Change in Receivables of $7.3 million for Q3 2026, down 86.11% quarter-over-quarter from $52.6 million in Q2 2026, and down 53.98% YoY from $15.9 million in Q3 2025.
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Analysis
Caseys General Stores (CASY) Change in Receivables (2009 - 2026) Analysis & Trends
Caseys General Stores (CASY) has 18 years of Change in Receivables data on file, last reported at $7.3 million in Q3 2026.
- For the quarter ending Q3 2026, Change in Receivables fell 53.98% year-over-year to $7.3 million; the trailing twelve-month figure through Jul 2026 stood at $51.5 million (up 1175.85% YoY), and the FY2026 full-year result was $60.1 million, up 4531.84% from the prior year.
- Change in Receivables was $7.3 million for Q3 2026 at Caseys General Stores, down from $52.6 million in the prior quarter.
- In the past five years, Change in Receivables ranged from a high of $52.6 million in Q2 2026 to a low of -$30.2 million in Q1 2023.
- A 5-year average of $7.2 million and a median of $8.7 million in 2023 frame the typical range for Change in Receivables.
- Across the five-year window, Change in Receivables tumbled 1671.81% in 2023 and jumped 337.43% in 2024, its largest moves.
- Caseys General Stores' Change in Receivables stood at $11.6 million in 2022, then fell by 24.87% to $8.7 million in 2023, then tumbled by 240.84% to -$12.3 million in 2024, then surged by 78.42% to -$2.6 million in 2025, then jumped by 375.73% to $7.3 million in 2026.
- Per Business Quant data, the three most recent Change in Receivables figures were $7.3 million in Q3 2026, $52.6 million in Q2 2026, and -$5.7 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caseys General Stores | 22.08 Bn | 21.56 Bn | 1.24 Bn | 7.30 Mn |
| 2 | Murphy USA | 9.67 Bn | 9.49 Bn | 746.50 Mn | - |
| 3 | Arko | 473.42 Mn | 281.56 Mn | - | -8.93 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();