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APACHE CORP: basic earnings per share

Basic earnings per share for APACHE CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All APACHE CORP financial histories

What this measure means

Reported earnings or loss per basic common share or unit. Inspect attribution, share classes and restatements before comparing periods. This is not a market return.

Exact concept: us-gaap:EarningsPerShareBasic. 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 2007-01-01 to 2020-12-31. The SEC response was captured on 2026-09-21.

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

Basic earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2020-01-012020-12-31-12.86USD/shares2021-02-2610-K · 0001673379-21-000007
2019-01-012019-12-31-9.43USD/shares2021-02-2610-K · 0001673379-21-000007
2018-01-012018-12-310.11USD/shares2021-02-2610-K · 0001673379-21-000007
2017-01-012017-12-313.42USD/shares2020-02-2810-K · 0001733037-20-000004
2016-01-012016-12-31-3.71USD/shares2019-03-0110-K · 0001733037-19-000004
2015-01-012015-12-31-27.4USD/shares2018-02-2310-K · 0001673379-18-000008
2014-01-012014-12-31-14.06USD/shares2016-02-2610-K · 0001193125-16-481920
2013-01-012013-12-315.53USD/shares2016-02-2610-K · 0001193125-16-481920
2012-01-012012-12-314.95USD/shares2015-02-2710-K · 0001193125-15-070388
2011-01-012011-12-3111.75USD/shares2014-02-2810-K · 0001193125-14-077668
2010-12-312011-12-3111.75USD/shares2013-03-0110-K · 0001193125-13-085083
2009-12-312010-12-318.53USD/shares2013-03-0110-K · 0001193125-13-085083
2009-01-012009-12-31-0.87USD/shares2010-02-2610-K · 0000950123-10-018311
2008-12-312009-12-31-0.87USD/shares2012-02-2910-K · 0001193125-12-086217
2008-01-012008-12-312.11USD/shares2011-04-0710-K/A · 0000950123-11-033800
2007-01-012007-12-318.45USD/shares2010-02-2610-K · 0000950123-10-018311

Related financial histories

Inspect the source

Entity
APACHE CORP / CIK 0000006769
Captured
2026-09-21T17:16:19.979Z
SEC response SHA-256
9bf9d8d2efb5572ac51dcedb255019da3f6f7237aaad93dc1cea7178e4c0140a

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/0000006769.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"])))