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MARTIN MARIETTA MATERIALS INC: gross profit

Gross profit for MARTIN MARIETTA MATERIALS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MARTIN MARIETTA MATERIALS INC financial histories

What this measure means

Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.

Exact concept: us-gaap:GrossProfit. 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 2026-09-20.

Selected filing history

Gross profit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-311,889,000,000USD2026-02-1910-K · 0001193125-26-059193
2024-01-012024-12-311,636,000,000USD2026-02-1910-K · 0001193125-26-059193
2023-01-012023-12-311,745,000,000USD2026-02-1910-K · 0001193125-26-059193
2022-01-012022-12-311,423,000,000USD2025-02-2110-K · 0000950170-25-024770
2021-01-012021-12-311,348,400,000USD2024-02-2310-K · 0000950170-24-019275
2020-01-012020-12-311,252,800,000USD2023-02-2410-K · 0000950170-23-004361
2019-01-012019-12-311,179,000,000USD2022-02-2210-K · 0001564590-22-005965
2018-01-012018-12-31966,600,000USD2021-02-1910-K · 0001564590-21-006959
2017-01-012017-12-31971,900,000USD2020-02-2110-K · 0001564590-20-005784
2016-01-012016-12-31911,738,000USD2019-02-2510-K · 0001193125-19-049961
2015-01-012015-12-31726,920,000USD2018-02-2310-K · 0001193125-18-055887
2014-01-012014-12-31522,360,000USD2017-02-2410-K · 0001193125-17-056282
2013-01-012013-12-31363,957,000USD2016-02-2310-K · 0001193125-16-473754
2012-01-012012-12-31327,134,000USD2015-02-2410-K · 0001193125-15-060008
2011-01-012011-12-31302,002,000USD2014-02-2410-K · 0001193125-14-064999
2010-01-012010-12-31321,651,000USD2013-02-2210-K · 0001193125-13-070711
2009-01-012009-12-31331,567,000USD2012-02-2910-K · 0001193125-12-088047
2008-01-012008-12-31470,515,000USD2011-02-2510-K · 0000950123-11-018849

Related financial histories

Inspect the source

Entity
MARTIN MARIETTA MATERIALS INC / CIK 0000916076
Captured
2026-09-20T05:07:13.036Z
SEC response SHA-256
661148956ef2ebbd1186248565de5e7c432ac61be4b647bbd82f49b82f7917f3

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/0000916076.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"])))