ABBOTT LABORATORIES: cash and cash equivalents
Cash and cash equivalents for ABBOTT LABORATORIES. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All ABBOTT LABORATORIES financial histories
What this measure means
Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.
Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. 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 2006-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 8,522,000,000 | USD | 2026-02-20 | 10-K · 0001628280-26-010185 |
| At date | 2024-12-31 | 7,616,000,000 | USD | 2026-02-20 | 10-K · 0001628280-26-010185 |
| At date | 2023-12-31 | 6,896,000,000 | USD | 2025-02-21 | 10-K · 0001628280-25-007110 |
| At date | 2022-12-31 | 9,882,000,000 | USD | 2024-02-16 | 10-K · 0001628280-24-005348 |
| At date | 2021-12-31 | 9,799,000,000 | USD | 2023-02-17 | 10-K · 0001628280-23-004026 |
| At date | 2020-12-31 | 6,838,000,000 | USD | 2022-02-18 | 10-K · 0001104659-22-025141 |
| At date | 2019-12-31 | 3,860,000,000 | USD | 2021-02-19 | 10-K · 0001104659-21-025751 |
| At date | 2018-12-31 | 3,844,000,000 | USD | 2020-02-21 | 10-K · 0001104659-20-023904 |
| At date | 2017-12-31 | 9,407,000,000 | USD | 2019-02-22 | 10-K · 0001047469-19-000624 |
| At date | 2016-12-31 | 18,620,000,000 | USD | 2018-02-16 | 10-K · 0001047469-18-000856 |
| At date | 2015-12-31 | 5,001,000,000 | USD | 2018-02-16 | 10-K · 0001047469-18-000856 |
| At date | 2014-12-31 | 4,063,000,000 | USD | 2018-02-16 | 10-K · 0001047469-18-000856 |
| At date | 2013-12-31 | 3,475,000,000 | USD | 2017-02-17 | 10-K · 0001047469-17-000744 |
| At date | 2012-12-31 | 10,802,000,000 | USD | 2016-02-19 | 10-K · 0001047469-16-010246 |
| At date | 2011-12-31 | 6,813,000,000 | USD | 2015-02-27 | 10-K · 0001047469-15-001377 |
| At date | 2010-12-31 | 3,648,000,000 | USD | 2014-02-21 | 10-K · 0001047469-14-001176 |
| At date | 2009-12-31 | 8,809,339,000 | USD | 2013-02-15 | 10-K · 0001047469-13-001180 |
| At date | 2008-12-31 | 4,112,022,000 | USD | 2012-02-21 | 10-K · 0001047469-12-001216 |
| At date | 2007-12-31 | 2,456,384,000 | USD | 2011-02-18 | 10-K · 0001047469-11-001056 |
| At date | 2006-12-31 | 521,192,000 | USD | 2010-02-19 | 10-K · 0001047469-10-001018 |
Related financial histories
- ABBOTT LABORATORIES: total assets
- ABBOTT LABORATORIES: stockholders equity
- ABBOTT LABORATORIES: net income or loss
- ABBOTT LABORATORIES: operating cash flow
- ABBOTT LABORATORIES: capital expenditure payments
- ABBOTT LABORATORIES: contract revenue excluding tax
- ABBOTT LABORATORIES: financing cash flow
- ABBOTT LABORATORIES: investing cash flow
- ABBOTT LABORATORIES: retained earnings or deficit
- ABBOTT LABORATORIES: basic weighted-average shares
- ABBOTT LABORATORIES: diluted weighted-average shares
- ABBOTT LABORATORIES: basic earnings per share
- ABBOTT LABORATORIES: diluted earnings per share
- ABBOTT LABORATORIES: income tax expense or benefit
- ABBOTT LABORATORIES: net property, plant and equipment
- ABBOTT LABORATORIES: share-based compensation expense
- ABBOTT LABORATORIES: operating income or loss
- ABBOTT LABORATORIES: current assets
- ABBOTT LABORATORIES: interest expense
- ABBOTT LABORATORIES: current liabilities
- ABBOTT LABORATORIES: goodwill carrying amount
- ABBOTT LABORATORIES: net current accounts receivable
- ABBOTT LABORATORIES: common-stock repurchase payments
- ABBOTT LABORATORIES: net inventory
- ABBOTT LABORATORIES: selling, general and administrative expense
- ABBOTT LABORATORIES: research and development expense
Inspect the source
- Entity
- ABBOTT LABORATORIES / CIK 0000001800
- Captured
- 2026-09-19T14:42:33.796Z
- SEC response SHA-256
5d751f73769f5c0a1f9bee0de16cb39d8961cf3f1ebb5558d555bb2678afb4ff
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.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000001800.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"])))