Skip to content

B-Scada, Inc.: financial reference

Explore B-Scada, Inc. financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.

Reported financial histories

Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.

Latest periods by selected concept and original unit
MeasurePeriod startPeriod endValueUnitFiled
Total assetsAt date2015-10-312,783,799USD2016-01-28
Total liabilitiesAt date2015-10-31505,983USD2016-01-28
Stockholders equityAt date2015-10-312,277,816USD2016-01-28
Cash and cash equivalentsAt date2015-10-31840,777USD2016-01-28
Net income or loss2014-11-012015-10-31-398,221USD2016-01-28
Operating cash flow2014-11-012015-10-31-47,384USD2016-01-28
Capital expenditure payments2014-11-012015-10-3119,283USD2016-01-28
Revenue2014-11-012015-10-311,935,468USD2016-01-28
Financing cash flow2014-11-012015-10-31-16,064USD2016-01-28
Investing cash flow2014-11-012015-10-31-219,283USD2016-01-28
Retained earnings or deficitAt date2015-10-31-5,671,142USD2016-01-28
Basic weighted-average shares2013-11-012014-10-3125,310,103shares2015-01-26
Diluted weighted-average shares2013-11-012014-10-3125,310,103shares2015-01-26
Basic earnings per share2013-11-012014-10-310.04USD/shares2015-01-26
Diluted earnings per share2013-11-012014-10-310.04USD/shares2015-01-26
Income tax expense or benefit2014-11-012015-10-31-164,331USD2016-01-28
Net property, plant and equipmentAt date2015-10-31225,165USD2016-01-28
Share-based compensation expense2014-11-012015-10-3172,393USD2016-01-28
Operating income or loss2014-11-012015-10-31-559,187USD2016-01-28
Current assetsAt date2015-10-311,180,520USD2016-01-28
Interest expense2014-11-012015-10-315,763USD2016-01-28
Current liabilitiesAt date2015-10-31420,443USD2016-01-28
Net current accounts receivableAt date2013-10-31119,618USD2014-01-28
Operating expenses2014-11-012015-10-312,494,655USD2016-01-28
Cost of revenue2014-11-012015-10-31450,034USD2016-01-28
Research and development expense2014-11-012015-10-31122,487USD2016-01-28

Inspect the source

Entity
B-Scada, Inc. / CIK 0001341878
Captured
2026-09-20T07:54:22.488Z
SEC response SHA-256
48536081e33da514334fff00e6908fc8199f565fe2bf7f89c9cf7e1e19c970e6

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/0001341878.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"])))