McGRATH RENTCORP: diluted earnings per share

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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

• McGRATH RENTCORP: total assets
• McGRATH RENTCORP: total liabilities
• McGRATH RENTCORP: stockholders equity
• McGRATH RENTCORP: cash and cash equivalents
• McGRATH RENTCORP: net income or loss
• McGRATH RENTCORP: operating cash flow
• McGRATH RENTCORP: capital expenditure payments
• McGRATH RENTCORP: revenue
• McGRATH RENTCORP: contract revenue excluding tax
• McGRATH RENTCORP: financing cash flow
• McGRATH RENTCORP: investing cash flow
• McGRATH RENTCORP: retained earnings or deficit
• McGRATH RENTCORP: basic weighted-average shares
• McGRATH RENTCORP: diluted weighted-average shares
• McGRATH RENTCORP: basic earnings per share
• McGRATH RENTCORP: income tax expense or benefit
• McGRATH RENTCORP: net property, plant and equipment
• McGRATH RENTCORP: share-based compensation expense
• McGRATH RENTCORP: operating income or loss
• McGRATH RENTCORP: interest expense
• McGRATH RENTCORP: goodwill carrying amount
• McGRATH RENTCORP: net finite-lived intangible assets
• McGRATH RENTCORP: net inventory
• McGRATH RENTCORP: gross profit
• McGRATH RENTCORP: cost of revenue
• McGRATH RENTCORP: selling, general and administrative expense

Inspect the source

Entity

McGRATH RENTCORP / CIK 0000752714

Captured

2026-09-19T15:02:05.983Z

SEC response SHA-256

e50ad4350de21420b78b19e78f0826cb496120074f47775929e420284c80ca62

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/0000752714.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"])))