Caseys General Stores (CASY) EBITDA (2009 - 2026)
Caseys General Stores' EBITDA came in at $601.08 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 14.9% from $523.23 million a year earlier and up 29.0% from the prior quarter.
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Analysis
Caseys General Stores (CASY) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Caseys General Stores reported EBITDA of $2.01 billion, up 19.2% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $1.93 billion, up 20.6% from FY2025.
- EBITDA has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 14.5% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $1.6 billion in FY2025 (+13.8%), $1.41 billion in FY2024 (+11.3%), $1.27 billion in FY2023 (+14.6%) and $1.1 billion in FY2022 (+12.2%).
- The fiscal Q1 2027 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- Year-over-year, EBITDA has increased for 21 consecutive quarters, with growth averaging 18.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in EBITDA ranged from 1.2% (fiscal Q4 2023) to 30.4% (fiscal Q3 2022).
- Business Quant data shows CASY's EBITDA at $465.83 million (Q4 2026), $423 million (Q3 2026) and $521.52 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 3.41 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 1.24 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 601.08 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 597.96 Mn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 537.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 601.08 Mn |
| Apr 30, 2026 | 465.83 Mn |
| Jan 31, 2026 | 423.00 Mn |
| Oct 31, 2025 | 521.52 Mn |
| Jul 31, 2025 | 523.23 Mn |
| Apr 30, 2025 | 370.46 Mn |
| Jan 31, 2025 | 347.57 Mn |
| Oct 31, 2024 | 445.47 Mn |
| Jul 31, 2024 | 440.19 Mn |
| Apr 30, 2024 | 311.37 Mn |
| Jan 31, 2024 | 306.57 Mn |
| Oct 31, 2023 | 391.46 Mn |
| Jul 31, 2023 | 399.80 Mn |
| Apr 30, 2023 | 246.65 Mn |
| Jan 31, 2023 | 299.82 Mn |
| Oct 31, 2022 | 349.85 Mn |
| Jul 31, 2022 | 369.27 Mn |
| Apr 30, 2022 | 243.70 Mn |
| Jan 31, 2022 | 249.03 Mn |
| Oct 31, 2021 | 291.20 Mn |
API Access
Caseys General Stores EBITDA 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=ebitda&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();