One Liberty Properties, 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 2009-01-01 to 2023-12-31. The SEC response was captured on 2026-09-19.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Related financial histories

• One Liberty Properties, Inc.: total assets
• One Liberty Properties, Inc.: total liabilities
• One Liberty Properties, Inc.: stockholders equity
• One Liberty Properties, Inc.: cash and cash equivalents
• One Liberty Properties, Inc.: net income or loss
• One Liberty Properties, Inc.: operating cash flow
• One Liberty Properties, Inc.: revenue
• One Liberty Properties, Inc.: financing cash flow
• One Liberty Properties, Inc.: investing cash flow
• One Liberty Properties, Inc.: retained earnings or deficit
• One Liberty Properties, Inc.: basic weighted-average shares
• One Liberty Properties, Inc.: diluted weighted-average shares
• One Liberty Properties, Inc.: basic earnings per share
• One Liberty Properties, Inc.: diluted earnings per share
• One Liberty Properties, Inc.: share-based compensation expense
• One Liberty Properties, Inc.: operating income or loss
• One Liberty Properties, Inc.: common-stock repurchase payments
• One Liberty Properties, Inc.: operating expenses

Inspect the source

Entity

One Liberty Properties, Inc. / CIK 0000712770

Captured

2026-09-19T14:58:39.828Z

SEC response SHA-256

b6d9f7ee8ed8628c14fcf43f362a7c5b4900c25be6a534fb939490215fe46e56

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/0000712770.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"])))