Caseys General Stores (CASY) Total Current Liabilities (2010 - 2026)
Caseys General Stores (CASY) posted Total Current Liabilities of $1.4 billion for Q3 2026, up 0.96% quarter-over-quarter from $1.4 billion in Q2 2026, and up 19.82% YoY from $1.1 billion in Q3 2025.
Caseys General Stores (CASY) Total Current Liabilities (2010 - 2026) Analysis & Trends
Caseys General Stores (CASY) has 17 years of Total Current Liabilities data on file, last reported at $1.4 billion in Q3 2026.
- For the quarter ending Q3 2026, Total Current Liabilities rose 19.82% year-over-year to $1.4 billion; the trailing twelve-month figure through Jul 2026 stood at $1.4 billion (up 19.82% YoY), and the FY2026 full-year result was $1.4 billion, up 22.59% from the prior year.
- Total Current Liabilities was $1.4 billion for Q3 2026 at Caseys General Stores, up from $1.4 billion in the prior quarter.
- In the past five years, Total Current Liabilities ranged from a high of $1.4 billion in Q3 2026 to a low of $783.7 million in Q1 2022.
- A 5-year average of $1.0 billion and a median of $953.5 million in 2024 frame the typical range for Total Current Liabilities.
- Across the five-year window, Total Current Liabilities surged 47.64% in 2022 and fell 7.86% in 2026, its largest moves.
- Caseys General Stores' Total Current Liabilities stood at $921.3 million in 2022, then increased by 3.1% to $949.8 million in 2023, then gained by 17.55% to $1.1 billion in 2024, then increased by 1.66% to $1.1 billion in 2025, then increased by 20.14% to $1.4 billion in 2026.
- Per Business Quant data, the three most recent Total Current Liabilities figures were $1.4 billion in Q3 2026, $1.4 billion in Q2 2026, and $1.1 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caseys General Stores | 22.08 Bn | 21.56 Bn | 1.24 Bn | 1.36 Bn |
| 2 | Murphy USA | 9.67 Bn | 9.49 Bn | 746.50 Mn | 1.09 Bn |
| 3 | Arko | 473.42 Mn | 281.56 Mn | - | 464.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.36 Bn |
| Apr 30, 2026 | 1.35 Bn |
| Jan 31, 2026 | 1.10 Bn |
| Oct 31, 2025 | 1.14 Bn |
| Jul 31, 2025 | 1.14 Bn |
| Apr 30, 2025 | 1.10 Bn |
| Jan 31, 2025 | 1.20 Bn |
| Oct 31, 2024 | 1.12 Bn |
| Jul 31, 2024 | 1.13 Bn |
| Apr 30, 2024 | 953.47 Mn |
| Jan 31, 2024 | 880.91 Mn |
| Oct 31, 2023 | 949.83 Mn |
| Jul 31, 2023 | 934.00 Mn |
| Apr 30, 2023 | 927.13 Mn |
| Jan 31, 2023 | 869.81 Mn |
| Oct 31, 2022 | 921.30 Mn |
| Jul 31, 2022 | 937.38 Mn |
| Apr 30, 2022 | 904.68 Mn |
| Jan 31, 2022 | 783.71 Mn |
| Oct 31, 2021 | 803.50 Mn |
Caseys General Stores Total 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-current-liabilities&ticker=CASY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CASY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();