Skip to content

PROTEO INC: net income available to common stockholders

Net income available to common stockholders for PROTEO INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All PROTEO INC financial histories

What this measure means

Net income after preferred dividends and similar adjustments, the numerator for basic earnings per share. It can be lower than reported net income.

Exact concept: us-gaap:NetIncomeLossAvailableToCommonStockholdersBasic. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2001-01-01 to 2015-12-31. The SEC response was captured on 2026-09-22.

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

Net income available to common stockholders in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2015-01-012015-12-31-311,968USD2016-03-3010-K · 0001019687-16-005675
2014-01-012014-12-31-48,813USD2016-03-3010-K · 0001019687-16-005675
2013-01-012013-12-31-551,807USD2015-03-3010-K · 0001019687-15-001156
2012-01-012012-12-31-693,806USD2014-02-2610-K · 0001019687-14-000626
2011-01-012011-12-31-778,989USD2013-03-2910-K · 0001019687-13-001055
2010-01-012010-12-31-510,114USD2013-03-2910-K · 0001019687-13-001055
2009-01-012009-12-31-857,784USD2013-03-2910-K · 0001019687-13-001055
2008-01-012008-12-31-889,882USD2013-03-2910-K · 0001019687-13-001055
2007-01-012007-12-31-445,169USD2013-03-2910-K · 0001019687-13-001055
2006-01-012006-12-31-649,868USD2013-03-2910-K · 0001019687-13-001055
2005-01-012005-12-31-1,131,781USD2013-03-2910-K · 0001019687-13-001055
2004-01-012004-12-31-639,746USD2013-03-2910-K · 0001019687-13-001055
2003-01-012003-12-31-620,204USD2013-03-2910-K · 0001019687-13-001055
2002-01-012002-12-31-1,105,395USD2013-03-2910-K · 0001019687-13-001055
2001-01-012001-12-31-374,111USD2013-03-2910-K · 0001019687-13-001055

Related PROTEO INC histories

Inspect the source

Entity
PROTEO INC / CIK 0001063104
Captured
SEC response SHA-256
e4abce9f9345d2ce5876cc768f3efe08a4b49c626b138f6ac6e022e9f75f16c6

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/0001063104.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"])))