KRONOS WORLDWIDE, 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 2026-09-20.

Selected filing history

Related financial histories

• KRONOS WORLDWIDE, INC.: total assets
• KRONOS WORLDWIDE, INC.: stockholders equity
• KRONOS WORLDWIDE, INC.: cash and cash equivalents
• KRONOS WORLDWIDE, INC.: net income or loss
• KRONOS WORLDWIDE, INC.: operating cash flow
• KRONOS WORLDWIDE, INC.: capital expenditure payments
• KRONOS WORLDWIDE, INC.: contract revenue excluding tax
• KRONOS WORLDWIDE, INC.: financing cash flow
• KRONOS WORLDWIDE, INC.: investing cash flow
• KRONOS WORLDWIDE, INC.: retained earnings or deficit
• KRONOS WORLDWIDE, INC.: basic weighted-average shares
• KRONOS WORLDWIDE, INC.: diluted weighted-average shares
• KRONOS WORLDWIDE, INC.: basic earnings per share
• KRONOS WORLDWIDE, INC.: diluted earnings per share
• KRONOS WORLDWIDE, INC.: income tax expense or benefit
• KRONOS WORLDWIDE, INC.: net property, plant and equipment
• KRONOS WORLDWIDE, INC.: operating income or loss
• KRONOS WORLDWIDE, INC.: current assets
• KRONOS WORLDWIDE, INC.: interest expense
• KRONOS WORLDWIDE, INC.: current liabilities
• KRONOS WORLDWIDE, INC.: current accounts payable
• KRONOS WORLDWIDE, INC.: common-stock repurchase payments
• KRONOS WORLDWIDE, INC.: net inventory
• KRONOS WORLDWIDE, INC.: gross profit
• KRONOS WORLDWIDE, INC.: research and development expense

Inspect the source

Entity

KRONOS WORLDWIDE, INC. / CIK 0001257640

Captured

2026-09-20T07:46:55.716Z

SEC response SHA-256

9a64360a874c1f38fef19607b066d5e798629f767d911115ea9014e11e06c68b

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/0001257640.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"])))