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EAGLE MATERIALS INC: depreciation, depletion and amortization

Depreciation, depletion and amortization for EAGLE MATERIALS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All EAGLE MATERIALS INC financial histories

What this measure means

Combined depreciation, depletion and amortization for the period. A noncash allocation of asset cost, not a measure of maintenance spending.

Exact concept: us-gaap:DepreciationDepletionAndAmortization. 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 2008-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Depreciation, depletion and amortization in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-04-012026-03-31164,746,000USD2026-05-1910-K · 0001193125-26-230979
2024-04-012025-03-31158,902,000USD2026-05-1910-K · 0001193125-26-230979
2023-04-012024-03-31149,832,000USD2026-05-1910-K · 0001193125-26-230979
2022-04-012023-03-31138,554,000USD2025-05-2010-K · 0000950170-25-075321
2021-04-012022-03-31128,811,000USD2024-05-2210-K · 0000950170-24-063523
2020-04-012021-03-31129,087,000USD2023-05-1910-K · 0000950170-23-023282
2019-04-012020-03-31113,518,000USD2022-05-2010-K · 0000950170-22-010413
2018-04-012019-03-31122,535,000USD2021-05-2110-K · 0001564590-21-029341
2017-04-012018-03-31114,015,000USD2020-05-2210-K · 0001564590-20-026773
2016-04-012017-03-3191,791,000USD2019-05-2310-K · 0001564590-19-020349
2015-04-012016-03-3197,105,000USD2018-05-2310-K · 0001564590-18-014244
2014-04-012015-03-3176,299,000USD2017-05-2410-K · 0001564590-17-011625
2013-04-012014-03-3170,021,000USD2016-05-2510-K · 0001564590-16-019955
2012-04-012013-03-3156,850,000USD2015-05-2210-K · 0001564590-15-004591
2011-04-012012-03-3150,124,000USD2014-05-2310-K · 0001193125-14-211568
2010-04-012011-03-3149,212,000USD2013-05-2410-K · 0001193125-13-235755
2009-04-012010-03-3150,781,000USD2012-05-2510-K · 0001193125-12-249223
2008-04-012009-03-3151,232,000USD2011-05-2610-K · 0001193125-11-151814

Related financial histories

Inspect the source

Entity
EAGLE MATERIALS INC / CIK 0000918646
Captured
2026-09-20T05:07:41.083Z
SEC response SHA-256
01dd50e9cba91f48bd6855acf299edd2d3a0a1f354096732c2029cb55f76979c

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/0000918646.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"])))