Gray Media, Inc.: goodwill carrying amount

What this measure means

Recognized goodwill remaining after accumulated impairment. It arises from business combinations and does not measure the current value of the company’s brand.

Exact concept: us-gaap:Goodwill. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• Gray Media, Inc.: total assets
• Gray Media, Inc.: total liabilities
• Gray Media, Inc.: stockholders equity
• Gray Media, Inc.: cash and cash equivalents
• Gray Media, Inc.: net income or loss
• Gray Media, Inc.: operating cash flow
• Gray Media, Inc.: capital expenditure payments
• Gray Media, Inc.: contract revenue excluding tax
• Gray Media, Inc.: financing cash flow
• Gray Media, Inc.: investing cash flow
• Gray Media, Inc.: retained earnings or deficit
• Gray Media, Inc.: basic weighted-average shares
• Gray Media, Inc.: diluted weighted-average shares
• Gray Media, Inc.: basic earnings per share
• Gray Media, Inc.: diluted earnings per share
• Gray Media, Inc.: income tax expense or benefit
• Gray Media, Inc.: net property, plant and equipment
• Gray Media, Inc.: share-based compensation expense
• Gray Media, Inc.: operating income or loss
• Gray Media, Inc.: current assets
• Gray Media, Inc.: current liabilities
• Gray Media, Inc.: current accounts payable
• Gray Media, Inc.: net finite-lived intangible assets
• Gray Media, Inc.: net current accounts receivable
• Gray Media, Inc.: common-stock repurchase payments
• Gray Media, Inc.: operating expenses

Inspect the source

Entity

Gray Media, Inc. / CIK 0000043196

Captured

2026-09-19T14:47:33.951Z

SEC response SHA-256

8a64f368ed1b1267b735b0a9b467d4409fc3b6fb620a8776027e684f9ea1ffdc

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/0000043196.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"])))