T-MOBILE US, 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 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

T-MOBILE US, INC. / CIK 0001283699

Captured

2026-09-20T07:49:03.184Z

SEC response SHA-256

a215b5c2834cf16e8a065a5eb16bfe2c4ba2fb0f93422437b2215c8b371ec052

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/0001283699.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"])))