Skip to content

LOGIQ, INC.: common shares outstanding

Common shares outstanding for LOGIQ, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LOGIQ, INC. financial histories

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 2010-12-31 to 2022-12-31. The SEC response was captured on 2026-09-21.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Common shares outstanding in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2022-12-3155,118,520shares2024-05-0310-K/A · 0001575872-24-000486
At date2021-12-3126,350,756shares2024-05-0310-K/A · 0001575872-24-000486
At date2020-12-3115,557,439shares2022-04-0110-K · 0001213900-22-017017
At date2019-12-318,561,704shares2021-03-3110-K · 0001213900-21-018884
At date2018-12-3136,915,343shares2020-03-3010-K · 0001213900-20-008049
At date2017-12-3123,460,628shares2019-04-1810-K · 0001469709-19-000061
At date2016-12-3120,778,128shares2018-04-1710-K · 0001469709-18-000059
At date2015-12-3112,628,688shares2017-03-3110-K · 0001469709-17-000054
At date2015-09-01626,576shares2016-04-2610-K · 0001469709-16-000781
At date2014-12-3146,256,568shares2016-04-2610-K · 0001469709-16-000781
At date2013-12-31429,317shares2015-06-1810-K · 0001469709-15-000372
At date2013-12-17429,317shares2015-02-1710-K · 0001469709-15-000068
At date2012-12-314,815shares2015-02-1710-K · 0001469709-15-000068
At date2011-12-3126,871,131shares2013-03-2810-K · 0001469709-13-000157
At date2010-12-3110,815,469shares2012-03-2710-K · 0001471242-12-000350

Related financial histories

Inspect the source

Entity
LOGIQ, INC. / CIK 0001335112
Captured
2026-09-21T17:18:33.783Z
SEC response SHA-256
29af79e0e037e59ea61c99fd25e51965534f8245d60a8e24e4c32941bd798da9

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/0001335112.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"])))