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PROVIDENT FINANCIAL SERVICES INC: operating cash flow

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

All PROVIDENT FINANCIAL SERVICES 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Operating cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31442,264,000USD2026-02-2710-K · 0001628280-26-012814
2024-01-012024-12-31426,381,000USD2026-02-2710-K · 0001628280-26-012814
2023-01-012023-12-31173,396,000USD2026-02-2710-K · 0001628280-26-012814
2022-01-012022-12-31200,310,000USD2025-02-2810-K · 0001628280-25-008991
2021-01-012021-12-31156,814,000USD2024-02-2810-K · 0001628280-24-007678
2020-01-012020-12-31103,301,000USD2023-03-0110-K · 0001628280-23-005795
2019-01-012019-12-31136,925,000USD2022-03-0110-K · 0001628280-22-004544
2018-01-012018-12-31155,719,000USD2021-03-0110-K · 0001628280-21-003659
2017-01-012017-12-31117,220,000USD2020-03-0210-K · 0001628280-20-002687
2016-01-012016-12-31127,309,000USD2019-03-0110-K · 0001628280-19-002379
2015-01-012015-12-31114,866,000USD2018-03-0110-K · 0001628280-18-002619
2014-01-012014-12-31101,674,000USD2017-03-0110-K · 0001628280-17-002030
2013-01-012013-12-31119,921,000USD2016-02-2910-K · 0001628280-16-011913
2012-01-012012-12-31108,291,000USD2015-03-0210-K · 0001628280-15-001352
2011-01-012011-12-3193,833,000USD2014-03-0310-K · 0001445305-14-000814
2010-01-012010-12-3192,261,000USD2013-03-0110-K · 0001193125-13-087041
2009-01-012009-12-3123,513,000USD2012-02-2910-K · 0001193125-12-087986
2008-01-012008-12-3162,549,000USD2011-03-0110-K · 0001193125-11-052348

Related financial histories

Inspect the source

Entity
PROVIDENT FINANCIAL SERVICES INC / CIK 0001178970
Captured
2026-09-19T11:16:56.334Z
SEC response SHA-256
daae8cb014eebea235fc02044789ba28614721b21a873adfb70a8e392a25323c

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/0001178970.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"])))