Caseys General Stores (CASY) Cost of Revenue (2009 - 2026)
Caseys General Stores (CASY) posted Cost of Revenue of $4.4 billion for Q3 2026, up 27.14% quarter-over-quarter from $3.5 billion in Q2 2026, and up 28.5% YoY from $3.5 billion in Q3 2025.
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Analysis
Caseys General Stores (CASY) Cost of Revenue (2009 - 2026) Analysis & Trends
Caseys General Stores (CASY) has 18 years of Cost of Revenue data on file, last reported at $4.4 billion in Q3 2026.
- For the quarter ending Q3 2026, Cost of Revenue rose 28.5% year-over-year to $4.4 billion; the trailing twelve-month figure through Jul 2026 stood at $14.2 billion (up 13.79% YoY), and the FY2026 full-year result was $13.2 billion, up 8.63% from the prior year.
- Cost of Revenue was $4.4 billion for Q3 2026 at Caseys General Stores, up from $3.5 billion in the prior quarter.
- In the past five years, Cost of Revenue ranged from a high of $4.4 billion in Q3 2026 to a low of $2.4 billion in Q1 2022.
- A 5-year average of $3.1 billion and a median of $3.0 billion in 2023 frame the typical range for Cost of Revenue.
- Across the five-year window, Cost of Revenue jumped 62.43% in 2022 and dropped 17.33% in 2023, its largest moves.
- Caseys General Stores' Cost of Revenue stood at $3.2 billion in 2022, then increased by 0.35% to $3.2 billion in 2023, then fell by 6.0% to $3.0 billion in 2024, then climbed by 13.26% to $3.4 billion in 2025, then jumped by 31.16% to $4.4 billion in 2026.
- Per Business Quant data, the three most recent Cost of Revenue figures were $4.4 billion in Q3 2026, $3.5 billion in Q2 2026, and $2.9 billion in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caseys General Stores | 21.62 Bn | 21.09 Bn | 1.24 Bn | 4.44 Bn |
| 2 | Murphy USA | 9.34 Bn | 9.16 Bn | 746.50 Mn | 6.06 Bn |
| 3 | Arko | 488.01 Mn | 296.14 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.44 Bn |
| Apr 30, 2026 | 3.49 Bn |
| Jan 31, 2026 | 2.91 Bn |
| Oct 31, 2025 | 3.38 Bn |
| Jul 31, 2025 | 3.45 Bn |
| Apr 30, 2025 | 3.07 Bn |
| Jan 31, 2025 | 2.99 Bn |
| Oct 31, 2024 | 2.99 Bn |
| Jul 31, 2024 | 3.14 Bn |
| Apr 30, 2024 | 2.80 Bn |
| Jan 31, 2024 | 2.54 Bn |
| Oct 31, 2023 | 3.18 Bn |
| Jul 31, 2023 | 2.99 Bn |
| Apr 30, 2023 | 2.64 Bn |
| Jan 31, 2023 | 2.60 Bn |
| Oct 31, 2022 | 3.17 Bn |
| Jul 31, 2022 | 3.62 Bn |
| Apr 30, 2022 | 2.80 Bn |
| Jan 31, 2022 | 2.38 Bn |
| Oct 31, 2021 | 2.55 Bn |
API Access
Caseys General Stores Cost of Revenue 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=cost-of-revenue&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();