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APPLIED MATERIALS INC /DE: research and development expense

Research and development expense for APPLIED MATERIALS INC /DE. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All APPLIED MATERIALS INC /DE financial histories

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. 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 2006-10-30 to 2025-10-26. The SEC response was captured on 2026-09-19.

Selected filing history

Research and development expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-10-282025-10-263,570,000,000USD2025-12-1210-K · 0001628280-25-056742
2023-10-302024-10-273,233,000,000USD2025-12-1210-K · 0001628280-25-056742
2022-10-312023-10-293,102,000,000USD2025-12-1210-K · 0001628280-25-056742
2021-11-012022-10-302,771,000,000USD2024-12-1310-K · 0000006951-24-000044
2020-10-262021-10-312,485,000,000USD2023-12-1510-K · 0000006951-23-000041
2019-10-282020-10-252,234,000,000USD2022-12-1610-K · 0000006951-22-000043
2018-10-292019-10-272,054,000,000USD2021-12-1710-K · 0000006951-21-000043
2017-10-302018-10-282,022,000,000USD2020-12-1110-K · 0000006951-20-000048
2016-10-312017-10-291,781,000,000USD2019-12-1310-K · 0000006951-19-000046
2015-10-262016-10-301,540,000,000USD2018-12-1310-K · 0000006951-18-000041
2014-10-272015-10-251,451,000,000USD2017-12-1510-K · 0000006951-17-000038
2013-10-282014-10-261,428,000,000USD2016-12-1510-K · 0000006951-16-000068
2012-10-292013-10-271,320,000,000USD2015-12-0910-K · 0000006951-15-000034
2011-10-312012-10-281,237,000,000USD2014-12-1710-K · 0000006951-14-000037
2010-11-012011-10-301,118,000,000USD2013-12-0410-K · 0000006951-13-000044
2009-10-262010-10-311,143,000,000USD2012-12-0510-K · 0000006951-12-000018
2008-10-272009-10-25934,000,000USD2011-12-0610-K · 0001193125-11-332050
2007-10-292008-10-261,104,122,000USD2010-12-1010-K · 0000950123-10-112754
2006-10-302007-10-281,142,073,000USD2009-12-1810-K/A · 0000950123-09-072007

Related financial histories

Inspect the source

Entity
APPLIED MATERIALS INC /DE / CIK 0000006951
Captured
2026-09-19T14:43:21.724Z
SEC response SHA-256
65ecfedd5bfd3768d30286b52badee080c655cc8d1077524bdb6ca8928380fa7

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/0000006951.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"])))