EMCOR Group, Inc.: selling, general and administrative expense

What this measure means

Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.

Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

EMCOR Group, Inc. / CIK 0000105634

Captured

2026-09-19T14:54:35.094Z

SEC response SHA-256

84c31781c9a72f542041a31e473546dbd59c183699ea1b21ffd100425970df25

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/0000105634.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"])))