Casey’S General Stores, Inc.: interest expense

At a glance

Casey’S General Stores reported interest expense of $96.6 million for the year ending 2026-04-30, up 15.1% from $84.0 million a year earlier. From 2009 to 2026 it grew at a compound 13.9% a year, from $10.6 million to $96.6 million. Across the last five reported years it ranged from $51.8 million (2023-04-30) to $96.6 million (2026-04-30). That was 0.6% of revenue ($17.6 billion) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

Exact concept: us-gaap:InterestExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-05-01 to 2026-04-30. The SEC response was captured on 2026-09-19.

Selected filing history

Related CASEY’S GENERAL STORES, INC. histories

• Revenue
• Gross profit
• Operating expenses
• Income tax expense or benefit
• Current income tax expense or benefit
• Deferred income tax expense or benefit
• Total assets
• Total liabilities

All 47 Casey’S General Stores histories

Inspect the source

Entity

CASEY’S GENERAL STORES, INC. / CIK 0000726958

Captured

2026-09-19 15:00 UTC

SEC response SHA-256

a80c69a562fedc9e79672d3b2a22718517aa87ec757510374778eb95e8b1d505

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

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• Read the MCP server source and integration examples

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000726958.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))