The Marygold Companies, Inc.: basic weighted-average shares

What this measure means

Time-weighted shares used for basic earnings per share. This denominator differs from shares outstanding at a single reporting date.

Exact concept: us-gaap:WeightedAverageNumberOfSharesOutstandingBasic. 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 2011-07-01 to 2026-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• The Marygold Companies, Inc.: total assets
• The Marygold Companies, Inc.: total liabilities
• The Marygold Companies, Inc.: stockholders equity
• The Marygold Companies, Inc.: cash and cash equivalents
• The Marygold Companies, Inc.: net income or loss
• The Marygold Companies, Inc.: operating cash flow
• The Marygold Companies, Inc.: capital expenditure payments
• The Marygold Companies, Inc.: revenue
• The Marygold Companies, Inc.: contract revenue excluding tax
• The Marygold Companies, Inc.: financing cash flow
• The Marygold Companies, Inc.: investing cash flow
• The Marygold Companies, Inc.: retained earnings or deficit
• The Marygold Companies, Inc.: diluted weighted-average shares
• The Marygold Companies, Inc.: basic earnings per share
• The Marygold Companies, Inc.: diluted earnings per share
• The Marygold Companies, Inc.: income tax expense or benefit
• The Marygold Companies, Inc.: net property, plant and equipment
• The Marygold Companies, Inc.: share-based compensation expense
• The Marygold Companies, Inc.: operating income or loss
• The Marygold Companies, Inc.: current assets
• The Marygold Companies, Inc.: interest expense
• The Marygold Companies, Inc.: current liabilities
• The Marygold Companies, Inc.: current accounts payable
• The Marygold Companies, Inc.: goodwill carrying amount
• The Marygold Companies, Inc.: net finite-lived intangible assets
• The Marygold Companies, Inc.: net current accounts receivable
• The Marygold Companies, Inc.: operating expenses
• The Marygold Companies, Inc.: net inventory
• The Marygold Companies, Inc.: gross profit
• The Marygold Companies, Inc.: cost of revenue

Inspect the source

Entity

The Marygold Companies, Inc. / CIK 0001005101

Captured

2026-09-19T11:15:40.678Z

SEC response SHA-256

133beb6b8c0525b2366be0b736435c9c3233d4ac4cbddcd57ba335e8fc8cb7b9

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/0001005101.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"])))