Lite Strategy, Inc.: diluted weighted-average shares

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2014-07-01 to 2025-06-30. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• Lite Strategy, Inc.: total assets
• Lite Strategy, Inc.: total liabilities
• Lite Strategy, Inc.: stockholders equity
• Lite Strategy, Inc.: cash and cash equivalents
• Lite Strategy, Inc.: net income or loss
• Lite Strategy, Inc.: operating cash flow
• Lite Strategy, Inc.: capital expenditure payments
• Lite Strategy, Inc.: revenue
• Lite Strategy, Inc.: financing cash flow
• Lite Strategy, Inc.: investing cash flow
• Lite Strategy, Inc.: retained earnings or deficit
• Lite Strategy, Inc.: basic weighted-average shares
• Lite Strategy, Inc.: basic earnings per share
• Lite Strategy, Inc.: diluted earnings per share
• Lite Strategy, Inc.: income tax expense or benefit
• Lite Strategy, Inc.: net property, plant and equipment
• Lite Strategy, Inc.: share-based compensation expense
• Lite Strategy, Inc.: operating income or loss
• Lite Strategy, Inc.: current assets
• Lite Strategy, Inc.: current liabilities
• Lite Strategy, Inc.: current accounts payable
• Lite Strategy, Inc.: net finite-lived intangible assets
• Lite Strategy, Inc.: operating expenses
• Lite Strategy, Inc.: research and development expense

Inspect the source

Entity

Lite Strategy, Inc. / CIK 0001262104

Captured

2026-09-20T07:47:14.275Z

SEC response SHA-256

9b2c42130a9ba48a114bebf787d687cc395353371145f2d7ad08436263eeaacd

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/0001262104.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"])))