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ODYSIGHT.AI INC.: 10-Q filed 2018-11-13

What ODYSIGHT.AI INC. reported in its quarterly report filed 2018-11-13 (fiscal Q2 2019): 15 published measures, 41 facts as tagged in accession 0001558891-18-000095.

This filing

Form
10-Q (quarterly report)
Filed
2018-11-13
Fiscal period
fiscal Q2 2019
Accession
0001558891-18-000095 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 ODYSIGHT.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 2018-09-304,277USD
At 2018-03-3110,153USD

Stockholders equity

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

PeriodValueUnitDays
At 2018-09-30-96,737USD
At 2018-03-31-72,305USD

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 2018-09-301,360USD
At 2018-03-3110,153USD
At 2017-09-306,559USD
At 2017-03-312,660USD

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
2018-07-01 to 2018-09-30-14,748USD92
2018-04-01 to 2018-09-30-24,432USD183
2017-07-01 to 2017-09-30-5,812USD92
2017-04-01 to 2017-09-30-14,102USD183

Operating cash flow

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

PeriodValueUnitDays
2018-04-01 to 2018-09-30-32,793USD183
2017-04-01 to 2017-09-30-17,101USD183

Financing cash flow

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

PeriodValueUnitDays
2018-04-01 to 2018-09-3024,000USD183
2017-04-01 to 2017-09-3021,000USD183

Retained earnings or deficit

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

PeriodValueUnitDays
At 2018-09-30-169,885USD
At 2018-03-31-145,453USD

Interest expense

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

PeriodValueUnitDays
2018-07-01 to 2018-09-301,550USD92
2018-04-01 to 2018-09-302,829USD183
2017-07-01 to 2017-09-301,163USD92
2017-04-01 to 2017-09-302,005USD183

Current liabilities

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

PeriodValueUnitDays
At 2018-09-30101,014USD
At 2018-03-3182,458USD

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
2018-07-01 to 2018-09-3013,198USD92
2018-04-01 to 2018-09-3021,603USD183
2017-07-01 to 2017-09-304,649USD92
2017-04-01 to 2017-09-3012,097USD183

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 2018-09-302,529,680shares
At 2018-03-312,529,680shares

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 2018-09-3070,619USD
At 2018-03-3170,619USD

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
2018-07-01 to 2018-09-301,974USD92
2018-04-01 to 2018-09-302,270USD183
2017-07-01 to 2017-09-30878USD92
2017-04-01 to 2017-09-301,859USD183

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
2018-07-01 to 2018-09-30-1,550USD92
2018-04-01 to 2018-09-30-2,829USD183
2017-07-01 to 2017-09-30-1,163USD92
2017-04-01 to 2017-09-30-2,005USD183

Interest paid, net

Cash interest paid during the period, net of amounts capitalized where the filer reports it that way. It differs from interest expense recognized.

PeriodValueUnitDays
2018-04-01 to 2018-09-308,976USD183

Inspect the source

Entity
ODYSIGHT.AI INC. / CIK 0001577445
Captured
2026-09-20T09:22:05.342Z
SEC response SHA-256
f7027001f9382aedf82575a2bba919e40cca31fb61c02460e65a96858d8dd69e

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.

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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/0001577445.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"])))