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CVS HEALTH CORPORATION: current assets

Current assets for CVS HEALTH CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CVS HEALTH CORPORATION financial histories

What this measure means

Assets classified as current under the normal operating cycle or one-year boundary. Not all current assets can be converted immediately into cash.

Exact concept: us-gaap:AssetsCurrent. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Current assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-3174,714,000,000USD2026-02-1010-K · 0000064803-26-000010
At date2024-12-3168,645,000,000USD2026-02-1010-K · 0000064803-26-000010
At date2023-12-3167,858,000,000USD2025-02-1210-K · 0000064803-25-000007
At date2022-12-3165,633,000,000USD2024-02-0710-K · 0000064803-24-000007
At date2021-12-3160,008,000,000USD2023-02-0810-K · 0000064803-23-000009
At date2020-12-3156,369,000,000USD2022-02-0910-K · 0000064803-22-000008
At date2019-12-3150,302,000,000USD2021-02-1610-K · 0000064803-21-000011
At date2019-01-0145,195,000,000USD2020-02-1810-K · 0000064803-20-000007
At date2018-12-3145,243,000,000USD2020-02-1810-K · 0000064803-20-000007
At date2017-12-3131,229,000,000USD2019-02-2810-K · 0000064803-19-000013
At date2016-12-3131,042,000,000USD2018-02-1410-K · 0001558370-18-000707
At date2015-12-3129,158,000,000USD2017-02-0910-K · 0000064803-17-000006
At date2014-12-3125,983,000,000USD2016-02-0910-K · 0000064803-16-000074
At date2013-12-3125,325,000,000USD2015-02-1010-K · 0000064803-15-000008
At date2012-12-3120,161,000,000USD2014-02-1110-K · 0000064803-14-000008
At date2011-12-3118,594,000,000USD2013-02-1510-K · 0001104659-13-011354
At date2010-12-3117,706,000,000USD2012-02-1710-K · 0001104659-12-010850
At date2009-12-3117,537,000,000USD2011-02-1810-K · 0001193125-11-040351
At date2008-12-3116,526,000,000USD2010-02-2610-K · 0001193125-10-043086

Related financial histories

Inspect the source

Entity
CVS HEALTH CORPORATION / CIK 0000064803
Captured
2026-09-19T14:49:22.382Z
SEC response SHA-256
5c08d55a669ee073f26bb7dc68826076bf640f0a2b5ac5b2161408f67f96e3ff

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/0000064803.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"])))