Westlake Corporation: investing cash flow
Investing cash flow for Westlake Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Westlake Corporation financial histories
What this measure means
Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.
Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | -1,223,000,000 | USD | 2026-02-26 | 10-K · 0001262823-26-000016 |
| 2024-01-01 | 2024-12-31 | -1,001,000,000 | USD | 2026-02-26 | 10-K · 0001262823-26-000016 |
| 2023-01-01 | 2023-12-31 | -1,037,000,000 | USD | 2026-02-26 | 10-K · 0001262823-26-000016 |
| 2022-01-01 | 2022-12-31 | -2,479,000,000 | USD | 2025-02-25 | 10-K · 0001262823-25-000011 |
| 2021-01-01 | 2021-12-31 | -3,213,000,000 | USD | 2024-02-22 | 10-K · 0001262823-24-000014 |
| 2020-01-01 | 2020-12-31 | -509,000,000 | USD | 2023-02-22 | 10-K · 0001262823-23-000011 |
| 2019-01-01 | 2019-12-31 | -1,954,000,000 | USD | 2022-02-23 | 10-K · 0001262823-22-000014 |
| 2018-01-01 | 2018-12-31 | -754,000,000 | USD | 2021-02-24 | 10-K · 0001262823-21-000023 |
| 2017-01-01 | 2017-12-31 | -652,000,000 | USD | 2020-02-19 | 10-K · 0001262823-20-000007 |
| 2016-01-01 | 2016-12-31 | -2,563,000,000 | USD | 2019-02-20 | 10-K · 0001262823-19-000012 |
| 2015-01-01 | 2015-12-31 | -1,006,000,000 | USD | 2018-02-21 | 10-K · 0001262823-18-000008 |
| 2014-01-01 | 2014-12-31 | -773,205,000 | USD | 2017-02-22 | 10-K · 0001262823-17-000008 |
| 2013-01-01 | 2013-12-31 | -1,002,238,000 | USD | 2016-02-24 | 10-K · 0001262823-16-000030 |
| 2012-01-01 | 2012-12-31 | -466,971,000 | USD | 2015-02-25 | 10-K · 0001262823-15-000007 |
| 2011-01-01 | 2011-12-31 | -202,785,000 | USD | 2014-02-21 | 10-K · 0001262823-14-000007 |
| 2010-01-01 | 2010-12-31 | -80,275,000 | USD | 2013-02-22 | 10-K · 0001262823-13-000007 |
| 2009-01-01 | 2009-12-31 | -103,186,000 | USD | 2012-02-23 | 10-K · 0001193125-12-075023 |
Related financial histories
- Westlake Corporation: total assets
- Westlake Corporation: total liabilities
- Westlake Corporation: stockholders equity
- Westlake Corporation: cash and cash equivalents
- Westlake Corporation: net income or loss
- Westlake Corporation: operating cash flow
- Westlake Corporation: capital expenditure payments
- Westlake Corporation: revenue
- Westlake Corporation: financing cash flow
- Westlake Corporation: retained earnings or deficit
- Westlake Corporation: basic weighted-average shares
- Westlake Corporation: diluted weighted-average shares
- Westlake Corporation: basic earnings per share
- Westlake Corporation: diluted earnings per share
- Westlake Corporation: income tax expense or benefit
- Westlake Corporation: net property, plant and equipment
- Westlake Corporation: share-based compensation expense
- Westlake Corporation: operating income or loss
- Westlake Corporation: current assets
- Westlake Corporation: interest expense
- Westlake Corporation: current liabilities
- Westlake Corporation: current accounts payable
- Westlake Corporation: goodwill carrying amount
- Westlake Corporation: net finite-lived intangible assets
- Westlake Corporation: net current accounts receivable
- Westlake Corporation: common-stock repurchase payments
- Westlake Corporation: net inventory
- Westlake Corporation: gross profit
- Westlake Corporation: selling, general and administrative expense
Inspect the source
- Entity
- Westlake Corporation / CIK 0001262823
- Captured
- 2026-09-20T07:47:15.635Z
- SEC response SHA-256
cea7c11dfd3af2f332304a11e723d95447af9482ca953a1a21ea51067df2997b
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.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001262823.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"])))