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KIMBERLY-CLARK CORPORATION: financing cash flow

Financing cash flow for KIMBERLY-CLARK CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All KIMBERLY-CLARK CORPORATION financial histories

What this measure means

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

Exact concept: us-gaap:NetCashProvidedByUsedInFinancingActivities. 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 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Financing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-2,179,000,000USD2026-02-1210-K · 0001628280-26-007567
2024-01-012024-12-31-3,166,000,000USD2026-02-1210-K · 0001628280-26-007567
2023-01-012023-12-31-2,374,000,000USD2026-02-1210-K · 0001628280-26-007567
2022-01-012022-12-31-1,760,000,000USD2025-02-1310-K · 0000055785-25-000013
2021-01-012021-12-31-1,696,000,000USD2024-02-0810-K · 0000055785-24-000018
2020-01-012020-12-31-1,567,000,000USD2023-02-0910-K · 0000055785-23-000012
2019-01-012019-12-31-1,792,000,000USD2022-02-1010-K · 0000055785-22-000010
2018-01-012018-12-31-2,115,000,000USD2021-02-1110-K · 0000055785-21-000016
2017-01-012017-12-31-2,421,000,000USD2020-02-1310-K · 0000055785-20-000016
2016-01-012016-12-31-2,185,000,000USD2019-02-0710-K · 0000055785-19-000013
2015-01-012015-12-31-1,298,000,000USD2018-02-0810-K · 0000055785-18-000014
2012-01-012012-12-31-1,802,000,000USD2013-02-2210-K · 0000055785-13-000011
2011-01-012011-12-31-1,741,000,000USD2013-02-2210-K · 0000055785-13-000011
2010-01-012010-12-31-1,859,000,000USD2013-02-2210-K · 0000055785-13-000011
2009-01-012009-12-31-1,788,000,000USD2012-02-2910-K · 0000055785-12-000021
2008-01-012008-12-31-1,747,000,000USD2011-02-2310-K · 0001193125-11-043300
2007-01-012007-12-31-1,427,000,000USD2010-02-2410-K · 0001193125-10-038621

Related financial histories

Inspect the source

Entity
KIMBERLY-CLARK CORPORATION / CIK 0000055785
Captured
2026-09-19T14:48:32.158Z
SEC response SHA-256
20a44ed6a1f55fa51c786121735a8e3de8269d63c3584ad87844514756d04e18

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/0000055785.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"])))