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ARTIFICIAL INTELLIGENCE TECHNOLOGY SOLUTIONS INC.: 10-Q filed 2017-07-25

What ARTIFICIAL INTELLIGENCE TECHNOLOGY SOLUTIONS INC. reported in its quarterly report filed 2017-07-25 (fiscal Q1 2018): 16 published measures, 32 facts as tagged in accession 0001161697-17-000344.

This filing

Form
10-Q (quarterly report)
Filed
2017-07-25
Fiscal period
fiscal Q1 2018
Accession
0001161697-17-000344 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 ARTIFICIAL INTELLIGENCE TECHNOLOGY SOLUTIONS INC. filings.

Reported measures

Total assets

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

PeriodValueUnitDays
At 2017-05-31206,726USD
At 2017-02-283,100USD

Total liabilities

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

PeriodValueUnitDays
At 2017-05-3118,430,304USD
At 2017-02-2815,262,592USD

Stockholders equity

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

PeriodValueUnitDays
At 2017-05-31-18,223,578USD
At 2017-02-28-15,259,492USD

Cash and cash equivalents

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

PeriodValueUnitDays
At 2017-05-3116,726USD
At 2017-02-283,100USD
At 2016-05-316,467USD
At 2016-02-292,223USD

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
2017-03-01 to 2017-05-31-3,780,193USD92
2016-03-01 to 2016-05-31-205,368USD92

Investing cash flow

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

PeriodValueUnitDays
2017-03-01 to 2017-05-31-190,000USD92

Retained earnings or deficit

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

PeriodValueUnitDays
At 2017-05-3122,417,942USD
At 2017-02-2826,198,135USD

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
2017-03-01 to 2017-05-31-231,811USD92
2016-03-01 to 2016-05-31-66,893USD92

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 2017-05-31206,726USD
At 2017-02-283,100USD

Interest expense

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

PeriodValueUnitDays
2017-03-01 to 2017-05-31161,683USD92
2016-03-01 to 2016-05-31138,475USD92

Current liabilities

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

PeriodValueUnitDays
At 2017-05-3118,274,754USD
At 2017-02-2815,179,522USD

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 2017-05-3139,721,804shares
At 2017-02-2817,656,844shares

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 2017-05-31-40,683,242USD
At 2017-02-28-41,477,284USD

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
2017-03-01 to 2017-05-31231,811USD92
2016-03-01 to 2016-05-3166,893USD92

Depreciation expense

Depreciation recognized for the period under this concept. It is a noncash allocation of asset cost and may exclude amortization and depletion reported elsewhere.

PeriodValueUnitDays
2016-03-01 to 2016-05-31330USD92

Nonoperating income or expense

Total nonoperating income or expense, which can include interest, investment results and other items. A positive value is not operating profit.

PeriodValueUnitDays
2017-03-01 to 2017-05-31-3,548,382USD92
2016-03-01 to 2016-05-31-138,475USD92

Inspect the source

Entity
ARTIFICIAL INTELLIGENCE TECHNOLOGY SOLUTIONS INC. / CIK 0001498148
Captured
2026-09-20T09:11:08.351Z
SEC response SHA-256
7ea8124c27416ed5b3283882da227b604d20653c4e0f3e396c0449de1a2eded5

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/0001498148.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"])))