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HUNTINGTON INGALLS INDUSTRIES, INC.: capital expenditure payments

Capital expenditure payments for HUNTINGTON INGALLS INDUSTRIES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All HUNTINGTON INGALLS INDUSTRIES, INC. financial histories

What this measure means

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Capital expenditure payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31402,000,000USD2026-02-0510-K · 0001501585-26-000006
2024-01-012024-12-31367,000,000USD2026-02-0510-K · 0001501585-26-000006
2023-01-012023-12-31292,000,000USD2026-02-0510-K · 0001501585-26-000006
2022-01-012022-12-31284,000,000USD2025-02-0610-K · 0001501585-25-000006
2021-01-012021-12-31331,000,000USD2024-02-0110-K · 0001501585-24-000007
2020-01-012020-12-31353,000,000USD2023-02-0910-K · 0001501585-23-000010
2019-01-012019-12-31530,000,000USD2022-02-1010-K · 0001501585-22-000007
2018-01-012018-12-31463,000,000USD2021-02-1110-K · 0001501585-21-000008
2017-01-012017-12-31382,000,000USD2020-02-1310-K · 0001501585-20-000011
2016-01-012016-12-31285,000,000USD2019-02-1410-K · 0001501585-19-000005
2015-01-012015-12-31188,000,000USD2018-02-1510-K · 0001501585-18-000006
2014-01-012014-12-31165,000,000USD2017-02-1610-K · 0001501585-17-000005
2013-01-012013-12-31139,000,000USD2016-02-1810-K · 0001501585-16-000038
2012-01-012012-12-31162,000,000USD2015-02-1910-K · 0001501585-15-000005
2011-01-012011-12-31197,000,000USD2014-02-2710-K · 0001501585-14-000005
2010-01-012010-12-31191,000,000USD2013-02-2710-K · 0001501585-13-000003
2009-01-012009-12-31181,000,000USD2012-03-2910-K · 0001193125-12-138529

Related financial histories

Inspect the source

Entity
HUNTINGTON INGALLS INDUSTRIES, INC. / CIK 0001501585
Captured
2026-09-20T09:11:40.916Z
SEC response SHA-256
72344894dd2b816ed95fbb0381ead9c51ee8e769eba273ed48bbfe699880c299

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/0001501585.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"])))