Ming Shing Group Holdings Limited: 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 2021-04-01 to 2026-03-31. The SEC response was captured on 2026-09-21.

Reading these values

This selected numerical history matches Basic weighted-average shares for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.

Selected filing history

Related financial histories

• Ming Shing Group Holdings Limited: total assets
• Ming Shing Group Holdings Limited: total liabilities
• Ming Shing Group Holdings Limited: stockholders equity
• Ming Shing Group Holdings Limited: cash and cash equivalents
• Ming Shing Group Holdings Limited: net income or loss
• Ming Shing Group Holdings Limited: operating cash flow
• Ming Shing Group Holdings Limited: contract revenue excluding tax
• Ming Shing Group Holdings Limited: financing cash flow
• Ming Shing Group Holdings Limited: investing cash flow
• Ming Shing Group Holdings Limited: retained earnings or deficit
• Ming Shing Group Holdings Limited: basic weighted-average shares
• Ming Shing Group Holdings Limited: basic earnings per share
• Ming Shing Group Holdings Limited: diluted earnings per share
• Ming Shing Group Holdings Limited: income tax expense or benefit
• Ming Shing Group Holdings Limited: net property, plant and equipment
• Ming Shing Group Holdings Limited: operating income or loss
• Ming Shing Group Holdings Limited: current assets
• Ming Shing Group Holdings Limited: current liabilities
• Ming Shing Group Holdings Limited: current accounts payable
• Ming Shing Group Holdings Limited: net current accounts receivable
• Ming Shing Group Holdings Limited: operating expenses
• Ming Shing Group Holdings Limited: gross profit
• Ming Shing Group Holdings Limited: cost of revenue

Inspect the source

Entity

Ming Shing Group Holdings Limited / CIK 0001956166

Captured

2026-09-21T17:38:09.173Z

SEC response SHA-256

38bbd67131a0c070028c7ba583ddb2dd715595f434b31694ad8cc1fc68b1b69c

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/0001956166.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"])))