LABCORP HOLDINGS INC.: operating income or loss
Operating income or loss for LABCORP HOLDINGS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All LABCORP HOLDINGS INC. financial histories
What this measure means
Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.
Exact concept: us-gaap:OperatingIncomeLoss. 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
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 1,384,700,000 | USD | 2026-02-24 | 10-K · 0000920148-26-000111 |
| 2024-01-01 | 2024-12-31 | 1,086,700,000 | USD | 2026-02-24 | 10-K · 0000920148-26-000111 |
| 2023-01-01 | 2023-12-31 | 725,600,000 | USD | 2026-02-24 | 10-K · 0000920148-26-000111 |
| 2022-01-01 | 2022-12-31 | 1,436,500,000 | USD | 2025-02-25 | 10-K · 0000920148-25-000032 |
| 2021-01-01 | 2021-12-31 | 3,048,600,000 | USD | 2024-02-26 | 10-K · 0000920148-24-000014 |
| 2020-01-01 | 2020-12-31 | 2,445,400,000 | USD | 2023-02-28 | 10-K · 0000920148-23-000017 |
| 2019-01-01 | 2019-12-31 | 1,330,200,000 | USD | 2022-02-25 | 10-K · 0000920148-22-000015 |
| 2018-01-01 | 2018-12-31 | 1,325,700,000 | USD | 2021-02-25 | 10-K · 0000920148-21-000018 |
| 2017-01-01 | 2017-12-31 | 1,305,200,000 | USD | 2020-02-28 | 10-K · 0000920148-20-000011 |
| 2016-01-01 | 2016-12-31 | 1,270,600,000 | USD | 2019-02-28 | 10-K · 0000920148-19-000033 |
| 2015-01-01 | 2015-12-31 | 996,800,000 | USD | 2018-02-27 | 10-K · 0000920148-18-000024 |
| 2014-01-01 | 2014-12-31 | 910,400,000 | USD | 2016-03-01 | 10-K · 0000920148-16-000165 |
| 2013-01-01 | 2013-12-31 | 990,900,000 | USD | 2016-03-01 | 10-K · 0000920148-16-000165 |
| 2012-01-01 | 2012-12-31 | 1,023,500,000 | USD | 2015-02-26 | 10-K · 0000920148-15-000020 |
| 2011-01-01 | 2011-12-31 | 948,400,000 | USD | 2014-02-25 | 10-K · 0000920148-14-000021 |
| 2010-01-01 | 2010-12-31 | 978,800,000 | USD | 2013-02-26 | 10-K · 0000920148-13-000022 |
| 2009-01-01 | 2009-12-31 | 935,900,000 | USD | 2012-02-24 | 10-K · 0000920148-12-000039 |
| 2008-01-01 | 2008-12-31 | 842,900,000 | USD | 2011-03-07 | 10-K/A · 0000920148-11-000024 |
| 2007-01-01 | 2007-12-31 | 777,000,000 | USD | 2010-02-24 | 10-K · 0000920148-10-000021 |
Related financial histories
- LABCORP HOLDINGS INC.: total assets
- LABCORP HOLDINGS INC.: total liabilities
- LABCORP HOLDINGS INC.: stockholders equity
- LABCORP HOLDINGS INC.: cash and cash equivalents
- LABCORP HOLDINGS INC.: net income or loss
- LABCORP HOLDINGS INC.: operating cash flow
- LABCORP HOLDINGS INC.: capital expenditure payments
- LABCORP HOLDINGS INC.: revenue
- LABCORP HOLDINGS INC.: financing cash flow
- LABCORP HOLDINGS INC.: investing cash flow
- LABCORP HOLDINGS INC.: retained earnings or deficit
- LABCORP HOLDINGS INC.: basic weighted-average shares
- LABCORP HOLDINGS INC.: diluted weighted-average shares
- LABCORP HOLDINGS INC.: basic earnings per share
- LABCORP HOLDINGS INC.: diluted earnings per share
- LABCORP HOLDINGS INC.: income tax expense or benefit
- LABCORP HOLDINGS INC.: net property, plant and equipment
- LABCORP HOLDINGS INC.: share-based compensation expense
- LABCORP HOLDINGS INC.: current assets
- LABCORP HOLDINGS INC.: interest expense
- LABCORP HOLDINGS INC.: current liabilities
- LABCORP HOLDINGS INC.: current accounts payable
- LABCORP HOLDINGS INC.: goodwill carrying amount
- LABCORP HOLDINGS INC.: net current accounts receivable
- LABCORP HOLDINGS INC.: common-stock repurchase payments
- LABCORP HOLDINGS INC.: net inventory
- LABCORP HOLDINGS INC.: gross profit
- LABCORP HOLDINGS INC.: cost of revenue
- LABCORP HOLDINGS INC.: selling, general and administrative expense
Inspect the source
- Entity
- LABCORP HOLDINGS INC. / CIK 0000920148
- Captured
- 2026-09-20T05:07:51.083Z
- SEC response SHA-256
870099f23ed7598e05f405c7b5db78de7f4e413de290bf898fe02180fd87bdd8
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/0000920148.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"])))