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LOCKHEED MARTIN CORPORATION: net income or loss

Net income or loss for LOCKHEED MARTIN CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LOCKHEED MARTIN CORPORATION financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-315,017,000,000USD2026-01-2910-K · 0001628280-26-004195
2024-01-012024-12-315,336,000,000USD2026-01-2910-K · 0001628280-26-004195
2023-01-012023-12-316,920,000,000USD2026-01-2910-K · 0001628280-26-004195
2022-01-012022-12-315,732,000,000USD2025-01-2810-K · 0000936468-25-000009
2021-01-012021-12-316,315,000,000USD2024-01-2310-K · 0000936468-24-000010
2020-01-012020-12-316,833,000,000USD2023-01-2610-K · 0000936468-23-000009
2019-01-012019-12-316,230,000,000USD2022-01-2510-K · 0000936468-22-000008
2018-01-012018-12-315,046,000,000USD2021-01-2810-K · 0000936468-21-000013
2017-01-012017-12-311,963,000,000USD2020-02-0710-K · 0000936468-20-000016
2016-01-012016-12-315,173,000,000USD2019-02-0810-K · 0000936468-19-000009
2015-01-012015-12-313,605,000,000USD2018-02-1610-K/A · 0000936468-18-000013
2014-01-012014-12-313,614,000,000USD2017-02-0910-K · 0001193125-17-036192
2013-01-012013-12-312,981,000,000USD2016-02-2410-K · 0001193125-16-476010
2012-01-012012-12-312,745,000,000USD2015-02-0910-K · 0001193125-15-038681
2011-01-012011-12-312,655,000,000USD2014-02-1410-K · 0001193125-14-055034
2010-01-012010-12-312,878,000,000USD2013-02-2810-K · 0001193125-13-082873
2009-01-012009-12-312,973,000,000USD2012-02-2310-K · 0001193125-12-074929
2008-01-012008-12-313,217,000,000USD2011-02-2510-K · 0001193125-11-045739
2007-01-012007-12-313,033,000,000USD2010-02-2510-K · 0001193125-10-040520

Related financial histories

Inspect the source

Entity
LOCKHEED MARTIN CORPORATION / CIK 0000936468
Captured
2026-09-20T05:09:48.475Z
SEC response SHA-256
aedb683271d2c57451a89db5afa42af45eaaa74c57bc544ddfb427762f785c01

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/0000936468.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"])))