BMP AI Technologies Inc.: common shares outstanding

What this measure means

Common shares outstanding at the reporting date. This point-in-time count differs from the weighted-average shares used for earnings per share and can exclude other share classes.

Exact concept: us-gaap:CommonStockSharesOutstanding. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2023-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• BMP AI Technologies Inc.: total assets
• BMP AI Technologies Inc.: total liabilities
• BMP AI Technologies Inc.: stockholders equity
• BMP AI Technologies Inc.: net income or loss
• BMP AI Technologies Inc.: operating cash flow
• BMP AI Technologies Inc.: revenue
• BMP AI Technologies Inc.: financing cash flow
• BMP AI Technologies Inc.: retained earnings or deficit
• BMP AI Technologies Inc.: diluted weighted-average shares
• BMP AI Technologies Inc.: diluted earnings per share
• BMP AI Technologies Inc.: operating income or loss
• BMP AI Technologies Inc.: interest expense
• BMP AI Technologies Inc.: current liabilities
• BMP AI Technologies Inc.: operating expenses
• BMP AI Technologies Inc.: additional paid-in capital
• BMP AI Technologies Inc.: pre-tax income or loss from continuing operations
• BMP AI Technologies Inc.: profit or loss including noncontrolling interests
• BMP AI Technologies Inc.: general and administrative expense
• BMP AI Technologies Inc.: other nonoperating income or expense

Inspect the source

Entity

BMP AI Technologies Inc. / CIK 0001130781

Captured

2026-09-20T07:41:00.684Z

SEC response SHA-256

94b00168caa975a0fe787da9e727a25b397ae1485085691ac6668ce31c2aee67

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/0001130781.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"])))