Caseys General Stores (CASY) Total Non-Current Liabilities (2010 - 2026)
Caseys General Stores (CASY) posted Total Non-Current Liabilities of $5.0 billion for Q3 2026, up 0.82% quarter-over-quarter from $4.9 billion in Q2 2026, and up 6.29% YoY from $4.7 billion in Q3 2025.
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Analysis
Caseys General Stores (CASY) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
Caseys General Stores (CASY) has 17 years of Total Non-Current Liabilities data on file, last reported at $5.0 billion in Q3 2026.
- For the quarter ending Q3 2026, Total Non-Current Liabilities rose 6.29% year-over-year to $5.0 billion; the trailing twelve-month figure through Jul 2026 stood at $5.0 billion (up 6.29% YoY), and the FY2026 full-year result was $4.9 billion, up 6.09% from the prior year.
- Total Non-Current Liabilities was $5.0 billion for Q3 2026 at Caseys General Stores, up from $4.9 billion in the prior quarter.
- In the past five years, Total Non-Current Liabilities ranged from a high of $5.0 billion in Q3 2026 to a low of $3.1 billion in Q1 2022.
- A 5-year average of $3.8 billion and a median of $3.2 billion in 2024 frame the typical range for Total Non-Current Liabilities.
- Across the five-year window, Total Non-Current Liabilities jumped 53.47% in 2025 and slipped 1.74% in 2026, its largest moves.
- Caseys General Stores' Total Non-Current Liabilities stood at $3.1 billion in 2022, then rose by 0.49% to $3.2 billion in 2023, then jumped by 33.32% to $4.2 billion in 2024, then rose by 11.51% to $4.7 billion in 2025, then grew by 5.3% to $5.0 billion in 2026.
- Per Business Quant data, the three most recent Total Non-Current Liabilities figures were $5.0 billion in Q3 2026, $4.9 billion in Q2 2026, and $4.7 billion in Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caseys General Stores | 21.62 Bn | 21.09 Bn | 1.24 Bn | 4.95 Bn |
| 2 | Murphy USA | 9.34 Bn | 9.16 Bn | 746.50 Mn | 4.25 Bn |
| 3 | Arko | 488.01 Mn | 296.14 Mn | - | 2.79 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.95 Bn |
| Apr 30, 2026 | 4.91 Bn |
| Jan 31, 2026 | 4.66 Bn |
| Oct 31, 2025 | 4.70 Bn |
| Jul 31, 2025 | 4.66 Bn |
| Apr 30, 2025 | 4.63 Bn |
| Jan 31, 2025 | 4.74 Bn |
| Oct 31, 2024 | 4.22 Bn |
| Jul 31, 2024 | 3.16 Bn |
| Apr 30, 2024 | 3.27 Bn |
| Jan 31, 2024 | 3.09 Bn |
| Oct 31, 2023 | 3.16 Bn |
| Jul 31, 2023 | 3.12 Bn |
| Apr 30, 2023 | 3.12 Bn |
| Jan 31, 2023 | 3.09 Bn |
| Oct 31, 2022 | 3.15 Bn |
| Jul 31, 2022 | 3.16 Bn |
| Apr 30, 2022 | 3.12 Bn |
| Jan 31, 2022 | 3.08 Bn |
| Oct 31, 2021 | 3.02 Bn |
API Access
Caseys General Stores Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CASY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();