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UNIVERSAL HEALTH SERVICES INC: investing cash flow

Investing cash flow for UNIVERSAL HEALTH SERVICES INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All UNIVERSAL HEALTH SERVICES INC 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Investing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-1,070,617,000USD2026-02-2510-K · 0001193125-26-071676
2024-01-012024-12-31-911,109,000USD2026-02-2510-K · 0001193125-26-071676
2023-01-012023-12-31-763,275,000USD2026-02-2510-K · 0001193125-26-071676
2022-01-012022-12-31-647,296,000USD2025-02-2610-K · 0000950170-25-027785
2021-01-012021-12-31-914,466,000USD2024-02-2710-K · 0000950170-24-021175
2020-01-012020-12-31-802,562,000USD2023-02-2710-K · 0000950170-23-004656
2019-01-012019-12-31-688,410,000USD2022-02-2410-K · 0001564590-22-006717
2018-01-012018-12-31-747,247,000USD2021-02-2510-K · 0001564590-21-008851
2017-01-012017-12-31-684,732,000USD2020-02-2610-K · 0001564590-20-006793
2016-01-012016-12-31-1,155,217,000USD2019-02-2710-K · 0001564590-19-004919
2015-01-012015-12-31-912,885,000USD2018-02-2810-K · 0001564590-18-003808
2014-01-012014-12-31-832,846,000USD2017-02-2810-K · 0001564590-17-002860
2013-01-012013-12-31-383,458,000USD2016-02-2510-K · 0001564590-16-013375
2012-01-012012-12-31-789,590,000USD2015-02-2610-K · 0001193125-15-065954
2011-01-012011-12-31-285,805,000USD2014-02-2710-K · 0001193125-14-073337
2010-01-012010-12-31-2,194,083,000USD2013-02-2810-K · 0001193125-13-084679
2009-01-012009-12-31-390,434,000USD2012-02-2710-K · 0001193125-12-081900
2008-01-012008-12-31-295,666,000USD2011-02-2810-K · 0001193125-11-050142

Related financial histories

Inspect the source

Entity
UNIVERSAL HEALTH SERVICES INC / CIK 0000352915
Captured
2026-09-19T14:57:10.003Z
SEC response SHA-256
28b3be74d323b7cd7c28559ef0b22713d4354cb39b348fd66abc292bc903b1de

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/0000352915.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"])))