Woori Financial Group Inc.: operating cash flow

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2008-01-01 to 2010-12-31. The SEC response was captured on 2026-09-20.

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.

Coverage by original unit

• KRW: 2008-01-01 to 2010-12-31. This unit’s selected history ends more than two years before capture.
• USD: 2010-01-01 to 2010-12-31. This unit’s selected history ends more than two years before capture.

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Related financial histories

• Woori Financial Group Inc.: cash and cash equivalents
• Woori Financial Group Inc.: net income or loss
• Woori Financial Group Inc.: capital expenditure payments
• Woori Financial Group Inc.: financing cash flow
• Woori Financial Group Inc.: investing cash flow
• Woori Financial Group Inc.: basic weighted-average shares
• Woori Financial Group Inc.: diluted weighted-average shares
• Woori Financial Group Inc.: income tax expense or benefit
• Woori Financial Group Inc.: interest expense

Inspect the source

Entity

Woori Financial Group Inc. / CIK 0001264136

Captured

2026-09-20T07:47:21.340Z

SEC response SHA-256

d66970bba5f4859e72e48cdbbf39d01334691b0becd9c7f8747b4fce812139e2

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

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001264136.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"])))