Four Corners Property Trust, Inc.: retained earnings or deficit

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2014-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• Four Corners Property Trust, Inc.: total assets
• Four Corners Property Trust, Inc.: total liabilities
• Four Corners Property Trust, Inc.: stockholders equity
• Four Corners Property Trust, Inc.: cash and cash equivalents
• Four Corners Property Trust, Inc.: net income or loss
• Four Corners Property Trust, Inc.: operating cash flow
• Four Corners Property Trust, Inc.: capital expenditure payments
• Four Corners Property Trust, Inc.: revenue
• Four Corners Property Trust, Inc.: contract revenue excluding tax
• Four Corners Property Trust, Inc.: financing cash flow
• Four Corners Property Trust, Inc.: investing cash flow
• Four Corners Property Trust, Inc.: basic weighted-average shares
• Four Corners Property Trust, Inc.: diluted weighted-average shares
• Four Corners Property Trust, Inc.: basic earnings per share
• Four Corners Property Trust, Inc.: diluted earnings per share
• Four Corners Property Trust, Inc.: income tax expense or benefit
• Four Corners Property Trust, Inc.: share-based compensation expense
• Four Corners Property Trust, Inc.: interest expense
• Four Corners Property Trust, Inc.: net finite-lived intangible assets
• Four Corners Property Trust, Inc.: operating expenses
• Four Corners Property Trust, Inc.: net inventory

Inspect the source

Entity

Four Corners Property Trust, Inc. / CIK 0001650132

Captured

2026-09-21T17:22:46.371Z

SEC response SHA-256

5c380f73360358ffc76aff9aed3f7e357e401eacac45cb21ee19071d2b68f733

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/0001650132.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"])))