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Global AI, Inc.: 10-Q filed 2020-01-17

What Global AI, Inc. reported in its quarterly report filed 2020-01-17 (fiscal Q1 2020): 15 published measures, 30 facts as tagged in accession 0001493152-20-000726.

This filing

Form
10-Q (quarterly report)
Filed
2020-01-17
Fiscal period
fiscal Q1 2020
Accession
0001493152-20-000726 on SEC EDGAR

Values are as tagged in this filing. A later filing can restate them; each measure links to its history page, which shows the latest-filed value per period. All Global AI, Inc. filings.

Reported measures

Total assets

Resources recognized on the balance sheet. Book assets are not the market value of the business.

PeriodValueUnitDays
At 2019-12-3115,142USD
At 2019-09-308,953USD

Total liabilities

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

PeriodValueUnitDays
At 2019-12-3194,656USD
At 2019-09-30103,736USD

Stockholders equity

The reported residual interest after liabilities. It is an accounting amount, not market capitalization.

PeriodValueUnitDays
At 2019-12-31-79,514USD
At 2019-09-30-94,783USD

Net income or loss

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

PeriodValueUnitDays
2019-10-01 to 2019-12-3115,269USD92
2018-10-01 to 2018-12-315,844USD92

Operating cash flow

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

PeriodValueUnitDays
2019-10-01 to 2019-12-31-7,311USD92
2018-10-01 to 2018-12-3114,121USD92

Contract revenue excluding tax

Revenue from customer contracts excluding assessed taxes under this specific taxonomy concept. It is not automatically comparable to older revenue tags.

PeriodValueUnitDays
2019-10-01 to 2019-12-3128,500USD92
2018-10-01 to 2018-12-3120,000USD92

Retained earnings or deficit

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

PeriodValueUnitDays
At 2019-12-31-1,404,492USD
At 2019-09-30-1,419,761USD

Operating income or loss

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

PeriodValueUnitDays
2019-10-01 to 2019-12-3116,189USD92
2018-10-01 to 2018-12-317,002USD92

Current assets

Assets classified as current under the normal operating cycle or one-year boundary. Not all current assets can be converted immediately into cash.

PeriodValueUnitDays
At 2019-12-3114,564USD
At 2019-09-308,375USD

Current liabilities

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

PeriodValueUnitDays
At 2019-12-3194,656USD
At 2019-09-30103,736USD

Operating expenses

Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.

PeriodValueUnitDays
2019-10-01 to 2019-12-3112,311USD92
2018-10-01 to 2018-12-3112,998USD92

Common shares outstanding

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.

PeriodValueUnitDays
At 2019-12-3126,922,006shares
At 2019-09-3026,922,006shares

Additional paid-in capital

Capital contributed above par value under this concept. It records historical contributions, not the current value of the equity or cash on hand.

PeriodValueUnitDays
At 2019-12-311,298,056USD
At 2019-09-301,298,056USD

General and administrative expense

General and administrative costs reported under this concept, separate from selling expense. Filers group overhead differently, so compare presentation before comparing companies.

PeriodValueUnitDays
2019-10-01 to 2019-12-311,906USD92
2018-10-01 to 2018-12-311,701USD92

Other nonoperating income or expense

Other income or expense outside operations under this concept. The composition is filer-specific and can include one-time items.

PeriodValueUnitDays
2019-10-01 to 2019-12-31-920USD92
2018-10-01 to 2018-12-31-1,158USD92

Inspect the source

Entity
Global AI, Inc. / CIK 0001473490
Captured
2026-09-20T09:07:52.351Z
SEC response SHA-256
b3c8233dbad8337f1890ab8018c7722ce5fea933dbc84059d62162eb896c7fe5

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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/0001473490.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"])))