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BGM Group Ltd: diluted weighted-average shares

Diluted weighted-average shares for BGM Group Ltd. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All BGM Group Ltd financial histories

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 2018-10-01 to 2025-09-30. The SEC response was captured on 2026-09-19.

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.

Context from the filing

For BGM’s years ended September 30, 2023, 2024 and 2025, EPS uses net loss attributable to ordinary shareholders after noncontrolling interests, rather than consolidated or comprehensive loss. The filing excludes anti-dilutive potential shares and states there were no other diluted shares for these years. Its June 2024 five-for-one consolidation is already reflected. The prior auditor explicitly says it did not audit the subsequent adjustment to the 2023 share and EPS figures; this review preserves that limitation and does not certify those adjustments. Full share counts, USD EPS and September fiscal dates remain as reported. Read the source filing.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-10-012025-09-30113,261,317shares2026-07-2120-F · 0001104659-26-085247
2023-10-012024-09-307,226,480shares2026-07-2120-F · 0001104659-26-085247
2022-10-012023-09-307,226,480shares2026-07-2120-F · 0001104659-26-085247
2021-10-012022-09-307,226,480shares2025-04-0320-F/A · 0001410578-25-000636
2020-10-012021-09-3034,089,286shares2024-02-1520-F · 0001410578-24-000053
2019-10-012020-09-3030,000,000shares2023-04-1920-F · 0001410578-23-000745
2018-10-012019-09-3030,000,000shares2022-10-1320-F/A · 0001410578-22-002876

Related financial histories

Inspect the source

Entity
BGM Group Ltd / CIK 0001779578
Captured
2026-09-19T11:21:13.455Z
SEC response SHA-256
33210dced8349befe86035f27f40b7d791195a7c7d46a49edee117719fcc79c3

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001779578.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"])))