LAM Research Corporation: share-based compensation expense

At a glance

LAM Research reported share-based compensation expense of $386.4 million for the year ending 2026-06-28, up 12.5% from $343.4 million a year earlier. From 2009 to 2026 it grew at a compound 12.4% a year, from $53.0 million to $386.4 million. Across the last five reported years it ranged from $259.1 million (2022-06-26) to $386.4 million (2026-06-28). That was 1.7% of revenue ($23.2 billion) for the same year.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Reported noncash expense for share-based payment arrangements. Noncash treatment does not mean the awards have no economic cost to shareholders.

Exact concept: us-gaap:ShareBasedCompensation. 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 2008-06-30 to 2026-06-28. The SEC response was captured on 2026-09-19.

Selected filing history

Related LAM RESEARCH CORPORATION histories

• Revenue
• Contract revenue excluding tax
• Cost of revenue
• Gross profit
• Operating expenses
• Selling, general and administrative expense
• Total assets
• Total liabilities

All 63 LAM Research histories

Inspect the source

Entity

LAM RESEARCH CORPORATION / CIK 0000707549

Captured

2026-09-19 14:58 UTC

SEC response SHA-256

5669585890b736938e937b858b2e62156a2cb4f3cb74845d8270eeee42689f90

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.

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The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000707549.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"])))