Skip to content

OCCIDENTAL PETROLEUM CORPORATION: net current accounts receivable

Net current accounts receivable for OCCIDENTAL PETROLEUM CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All OCCIDENTAL PETROLEUM CORPORATION financial histories

What this measure means

Current customer receivables after the allowance for credit loss. The balance is not cash collected or a guarantee of collection.

Exact concept: us-gaap:AccountsReceivableNetCurrent. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Net current accounts receivable in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-312,575,000,000USD2026-02-1810-K · 0001628280-26-009059
At date2024-12-312,839,000,000USD2026-02-1810-K · 0001628280-26-009059
At date2023-12-313,195,000,000USD2025-02-1810-K · 0000797468-25-000029
At date2022-12-314,281,000,000USD2024-02-1410-K · 0000797468-24-000034
At date2021-12-314,208,000,000USD2023-05-0910-K/A · 0000797468-23-000031
At date2020-12-312,115,000,000USD2022-02-2410-K · 0000797468-22-000008
At date2019-12-314,233,000,000USD2021-02-2610-K · 0000797468-21-000009
At date2018-12-314,893,000,000USD2020-02-2810-K · 0000797468-20-000004
At date2017-12-314,145,000,000USD2019-02-2110-K · 0000797468-19-000004
At date2016-12-313,989,000,000USD2018-02-2310-K · 0000797468-18-000005
At date2015-12-312,970,000,000USD2017-02-2310-K · 0000797468-17-000003
At date2014-12-314,206,000,000USD2016-02-2610-K · 0000797468-16-000017
At date2013-12-315,674,000,000USD2015-02-2310-K · 0000797468-15-000003
At date2012-12-314,916,000,000USD2014-03-0310-K · 0000797468-14-000011
At date2011-12-315,395,000,000USD2013-02-2610-K · 0000797468-13-000011
At date2010-12-315,032,000,000USD2012-02-2310-K · 0000797468-12-000016
At date2009-12-314,092,000,000USD2011-02-2410-K · 0000797468-11-000026
At date2008-12-313,117,000,000USD2010-02-2510-K · 0000797468-10-000020

Related financial histories

Inspect the source

Entity
OCCIDENTAL PETROLEUM CORPORATION / CIK 0000797468
Captured
2026-09-19T15:04:51.286Z
SEC response SHA-256
4b911cbb64fe1b78f022a147470bd4376ebf25ec71897240d6ed85654d8bd410

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/0000797468.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"])))