Under Armour, Inc.: operating income or loss

What this measure means

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

Exact concept: us-gaap:OperatingIncomeLoss. 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 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

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

Inspect the source

Entity

Under Armour, Inc. / CIK 0001336917

Captured

2026-09-20T07:53:50.061Z

SEC response SHA-256

7739c891031f21efaff7135aaf080be236f685c75db0823ee51fce6c9fea7fb4

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/0001336917.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"])))