WORTHINGTON ENTERPRISES, INC.: interest expense

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 2008-06-01 to 2026-05-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• WORTHINGTON ENTERPRISES, INC.: total assets
• WORTHINGTON ENTERPRISES, INC.: total liabilities
• WORTHINGTON ENTERPRISES, INC.: stockholders equity
• WORTHINGTON ENTERPRISES, INC.: cash and cash equivalents
• WORTHINGTON ENTERPRISES, INC.: net income or loss
• WORTHINGTON ENTERPRISES, INC.: operating cash flow
• WORTHINGTON ENTERPRISES, INC.: capital expenditure payments
• WORTHINGTON ENTERPRISES, INC.: revenue
• WORTHINGTON ENTERPRISES, INC.: contract revenue excluding tax
• WORTHINGTON ENTERPRISES, INC.: financing cash flow
• WORTHINGTON ENTERPRISES, INC.: investing cash flow
• WORTHINGTON ENTERPRISES, INC.: retained earnings or deficit
• WORTHINGTON ENTERPRISES, INC.: basic weighted-average shares
• WORTHINGTON ENTERPRISES, INC.: diluted weighted-average shares
• WORTHINGTON ENTERPRISES, INC.: basic earnings per share
• WORTHINGTON ENTERPRISES, INC.: diluted earnings per share
• WORTHINGTON ENTERPRISES, INC.: income tax expense or benefit
• WORTHINGTON ENTERPRISES, INC.: net property, plant and equipment
• WORTHINGTON ENTERPRISES, INC.: share-based compensation expense
• WORTHINGTON ENTERPRISES, INC.: operating income or loss
• WORTHINGTON ENTERPRISES, INC.: current assets
• WORTHINGTON ENTERPRISES, INC.: current liabilities
• WORTHINGTON ENTERPRISES, INC.: current accounts payable
• WORTHINGTON ENTERPRISES, INC.: goodwill carrying amount
• WORTHINGTON ENTERPRISES, INC.: net current accounts receivable
• WORTHINGTON ENTERPRISES, INC.: common-stock repurchase payments
• WORTHINGTON ENTERPRISES, INC.: net inventory
• WORTHINGTON ENTERPRISES, INC.: gross profit
• WORTHINGTON ENTERPRISES, INC.: cost of revenue
• WORTHINGTON ENTERPRISES, INC.: selling, general and administrative expense

Inspect the source

Entity

WORTHINGTON ENTERPRISES, INC. / CIK 0000108516

Captured

2026-09-19T14:54:58.423Z

SEC response SHA-256

a5fc42f9ea1a20728f4694d1231ead7e410dfa56128c4e497d1606aab8e5c24b

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.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000108516.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"])))