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

Selected filing history

Related financial histories

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

Inspect the source

Entity

Information Services Group Inc. / CIK 0001371489

Captured

2026-09-19T11:17:47.633Z

SEC response SHA-256

7d2241694344e32ae320547965049f2a37b0f7914dd086530cddba8b2954797f

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/0001371489.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"])))