THE PENNANT GROUP, INC.: share-based compensation expense

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2017-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• THE PENNANT GROUP, INC.: total assets
• THE PENNANT GROUP, INC.: total liabilities
• THE PENNANT GROUP, INC.: net income or loss
• THE PENNANT GROUP, INC.: operating cash flow
• THE PENNANT GROUP, INC.: capital expenditure payments
• THE PENNANT GROUP, INC.: contract revenue excluding tax
• THE PENNANT GROUP, INC.: financing cash flow
• THE PENNANT GROUP, INC.: investing cash flow
• THE PENNANT GROUP, INC.: retained earnings or deficit
• THE PENNANT GROUP, INC.: basic weighted-average shares
• THE PENNANT GROUP, INC.: diluted weighted-average shares
• THE PENNANT GROUP, INC.: basic earnings per share
• THE PENNANT GROUP, INC.: diluted earnings per share
• THE PENNANT GROUP, INC.: income tax expense or benefit
• THE PENNANT GROUP, INC.: net property, plant and equipment
• THE PENNANT GROUP, INC.: operating income or loss
• THE PENNANT GROUP, INC.: current assets
• THE PENNANT GROUP, INC.: interest expense
• THE PENNANT GROUP, INC.: current liabilities
• THE PENNANT GROUP, INC.: current accounts payable
• THE PENNANT GROUP, INC.: goodwill carrying amount
• THE PENNANT GROUP, INC.: net current accounts receivable
• THE PENNANT GROUP, INC.: common-stock repurchase payments
• THE PENNANT GROUP, INC.: selling, general and administrative expense

Inspect the source

Entity

THE PENNANT GROUP, INC. / CIK 0001766400

Captured

2026-09-21T17:26:36.699Z

SEC response SHA-256

a690fcdbe1f550891e4183758ea22e9714282be231e5e865970a4580845595ba

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/0001766400.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"])))