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CENTENARY INTERNATIONAL CORP: net income or loss

Net income or loss for CENTENARY INTERNATIONAL CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CENTENARY INTERNATIONAL CORP financial histories

What this measure means

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

Exact concept: us-gaap:NetIncomeLoss. 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 2000-01-01 to 2015-12-31. The SEC response was captured on 2026-09-23.

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 or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2015-01-012015-12-31-1,487,781USD2017-08-0710-K · 0001144204-17-040770 SEC
2014-01-012014-12-31-1,777,292USD2017-08-0710-K · 0001144204-17-040770 SEC
2013-01-012013-12-31-938,729USD2015-11-0510-K · 0001144204-15-062985 SEC
2012-01-012012-12-31-73,404USD2014-04-2510-K · 0001144204-14-024993 SEC
2011-01-012011-12-31-53,032USD2014-04-2510-K · 0001144204-14-024993 SEC
2010-01-012010-12-31-59,218USD2014-04-2510-K · 0001144204-14-024993 SEC
2009-01-012009-12-31-53,676USD2014-04-2510-K · 0001144204-14-024993 SEC
2008-01-012008-12-31-65,480USD2014-04-2510-K · 0001144204-14-024993 SEC
2007-01-012007-12-31-98,117USD2014-04-2510-K · 0001144204-14-024993 SEC
2006-01-012006-12-31-24,273USD2014-04-2510-K · 0001144204-14-024993 SEC
2005-01-012005-12-31897,544USD2014-04-2510-K · 0001144204-14-024993 SEC
2004-01-012004-12-31-73,000USD2014-04-2510-K · 0001144204-14-024993 SEC
2003-01-012003-12-31-73,000USD2014-04-2510-K · 0001144204-14-024993 SEC
2002-01-012002-12-31-73,000USD2014-04-2510-K · 0001144204-14-024993 SEC
2001-01-012001-12-31-73,000USD2014-04-2510-K · 0001144204-14-024993 SEC
2000-01-012000-12-31-2,761,106USD2014-04-2510-K · 0001144204-14-024993 SEC

Related CENTENARY INTERNATIONAL CORP histories

Inspect the source

Entity
CENTENARY INTERNATIONAL CORP / CIK 0000759999
Captured
SEC response SHA-256
0d966b68601f97253d173da5e632f9686af53e4c62fd6836249d3ddb8a7b402c

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/0000759999.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"])))