Caseys General Stores (CASY) Change in Accured Expenses (2009 - 2026)
Caseys General Stores (CASY) posted Change in Accured Expenses of -$50.3 million for Q3 2026, down 278.85% quarter-over-quarter from $28.1 million in Q2 2026, and down 95.33% YoY from -$1.1 billion in Q3 2025.
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Analysis
Caseys General Stores (CASY) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Caseys General Stores (CASY) has 18 years of Change in Accured Expenses data on file, last reported at -$50.3 million in Q3 2026.
- For the quarter ending Q3 2026, Change in Accured Expenses fell 95.33% year-over-year to -$50.3 million; the trailing twelve-month figure through Jul 2026 stood at $11.1 million (down 67.92% YoY), and the FY2026 full-year result was $35.6 million, up 65.43% from the prior year.
- Change in Accured Expenses was -$50.3 million for Q3 2026 at Caseys General Stores, down from $28.1 million in the prior quarter.
- In the past five years, Change in Accured Expenses ranged from a high of $31.7 million in Q1 2022 to a low of -$50.3 million in Q3 2026.
- A 5-year average of $3.8 million and a median of $5.9 million in 2025 frame the typical range for Change in Accured Expenses.
- Across the five-year window, Change in Accured Expenses tumbled 156.2% in 2023 and soared 4483.36% in 2024, its largest moves.
- Caseys General Stores' Change in Accured Expenses stood at $14.1 million in 2022, then sank by 105.5% to -$775000.0 in 2023, then soared by 425.42% to $2.5 million in 2024, then jumped by 135.88% to $5.9 million in 2025, then slumped by 944.8% to -$50.3 million in 2026.
- Per Business Quant data, the three most recent Change in Accured Expenses figures were -$50.3 million in Q3 2026, $28.1 million in Q2 2026, and $27.3 million in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Accured Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caseys General Stores | 22.08 Bn | 21.56 Bn | 1.24 Bn | -50.26 Mn |
| 2 | Murphy USA | 9.67 Bn | 9.49 Bn | 746.50 Mn | - |
| 3 | Arko | 473.42 Mn | 281.56 Mn | - | -8.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -50.26 Mn |
| Apr 30, 2026 | 28.10 Mn |
| Jan 31, 2026 | 27.29 Mn |
| Oct 31, 2025 | 5.95 Mn |
| Jul 31, 2025 | -25.73 Mn |
| Apr 30, 2025 | 27.14 Mn |
| Jan 31, 2025 | 30.61 Mn |
| Oct 31, 2024 | 2.52 Mn |
| Jul 31, 2024 | -38.75 Mn |
| Apr 30, 2024 | 25.29 Mn |
| Jan 31, 2024 | 10.02 Mn |
| Oct 31, 2023 | -775,000.00 |
| Jul 31, 2023 | -20.15 Mn |
| Apr 30, 2023 | -577,000.00 |
| Jan 31, 2023 | 14.65 Mn |
| Oct 31, 2022 | 14.09 Mn |
| Jul 31, 2022 | -7.87 Mn |
| Apr 30, 2022 | -1.97 Mn |
| Jan 31, 2022 | 31.68 Mn |
| Oct 31, 2021 | 5.90 Mn |
API Access
Caseys General Stores Change in Accured Expenses 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-accured-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();