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PRUDENTIAL FINANCIAL INC: operating cash flow

Operating cash flow for PRUDENTIAL FINANCIAL INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All PRUDENTIAL FINANCIAL INC financial histories

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 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Operating cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-316,271,000,000USD2026-02-1210-K · 0001137774-26-000048
2024-01-012024-12-318,502,000,000USD2026-02-1210-K · 0001137774-26-000048
2023-01-012023-12-316,510,000,000USD2026-02-1210-K · 0001137774-26-000048
2022-01-012022-12-315,158,000,000USD2025-02-1310-K · 0001137774-25-000044
2021-01-012021-12-319,812,000,000USD2024-02-2110-K · 0001137774-24-000045
2020-01-012020-12-318,368,000,000USD2023-02-1610-K · 0001137774-23-000040
2019-01-012019-12-3119,625,000,000USD2022-02-1710-K · 0001137774-22-000038
2018-01-012018-12-3121,664,000,000USD2021-02-1910-K · 0001137774-21-000049
2017-01-012017-12-3113,460,000,000USD2020-02-1410-K · 0001137774-20-000065
2016-01-012016-12-3114,876,000,000USD2019-02-1510-K · 0001137774-19-000058
2015-01-012015-12-3113,942,000,000USD2018-02-1610-K · 0001137774-18-000063
2014-01-012014-12-3119,396,000,000USD2017-02-1710-K · 0001137774-17-000084
2013-01-012013-12-318,445,000,000USD2016-02-1910-K · 0001137774-16-000226
2012-01-012012-12-3120,909,000,000USD2015-02-2010-K · 0001193125-15-056366
2011-01-012011-12-3112,377,000,000USD2014-02-2710-K · 0001193125-14-073074
2010-01-012010-12-316,542,000,000USD2013-02-2210-K · 0001193125-13-071582
2009-01-012009-12-315,840,000,000USD2012-02-2410-K · 0001193125-12-078116
2008-01-012008-12-3110,855,000,000USD2011-02-2510-K · 0001193125-11-047467
2007-01-012007-12-315,992,000,000USD2010-02-2610-K · 0001193125-10-043048

Related financial histories

Inspect the source

Entity
PRUDENTIAL FINANCIAL INC / CIK 0001137774
Captured
2026-09-20T07:41:36.525Z
SEC response SHA-256
396e43e57289b045c67c72db000b4ecc26eeed806c004f370a8e7401039128f6

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/0001137774.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"])))