DHI 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• DHI Group, Inc.: total assets
• DHI Group, Inc.: total liabilities
• DHI Group, Inc.: stockholders equity
• DHI Group, Inc.: cash and cash equivalents
• DHI Group, Inc.: net income or loss
• DHI Group, Inc.: operating cash flow
• DHI Group, Inc.: capital expenditure payments
• DHI Group, Inc.: revenue
• DHI Group, Inc.: contract revenue excluding tax
• DHI Group, Inc.: financing cash flow
• DHI Group, Inc.: investing cash flow
• DHI Group, Inc.: retained earnings or deficit
• DHI Group, Inc.: basic weighted-average shares
• DHI Group, Inc.: diluted weighted-average shares
• DHI Group, Inc.: basic earnings per share
• DHI Group, Inc.: diluted earnings per share
• DHI Group, Inc.: income tax expense or benefit
• DHI Group, Inc.: net property, plant and equipment
• DHI Group, Inc.: operating income or loss
• DHI Group, Inc.: current assets
• DHI Group, Inc.: interest expense
• DHI Group, Inc.: current liabilities
• DHI Group, Inc.: goodwill carrying amount
• DHI Group, Inc.: net finite-lived intangible assets
• DHI Group, Inc.: net current accounts receivable
• DHI Group, Inc.: common-stock repurchase payments
• DHI Group, Inc.: research and development expense

Inspect the source

Entity

DHI Group, Inc. / CIK 0001393883

Captured

2026-09-19T11:17:56.930Z

SEC response SHA-256

0f3444d4c47ff06179cdee1a9afb129da5d3e640160f465cc611e9c9711784c3

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/0001393883.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"])))