Lam Research (LRCX) Retained Earnings (2010 - 2026)
Lam Research's Retained Earnings was $34.95 billion in fiscal Q4 2026 (quarter ended Jun 28, 2026), up 20.6% from $28.99 billion a year earlier and up 5.9% from the prior quarter.
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Analysis
Lam Research (LRCX) Retained Earnings (2010 - 2026) Analysis & Trends
From fiscal Q4 2010 onward, Lam Research has reported Retained Earnings for 64 quarters.
- Retained Earnings has now increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 18.9% (FY2021 to FY2026).
- In earlier fiscal years, Retained Earnings was $28.99 billion in FY2025 (+16.8%), $24.81 billion in FY2024 (+12.6%), $22.03 billion in FY2023 (+19.4%) and $18.45 billion in FY2022 (+25.7%).
- The fiscal Q4 2026 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- Compared with a year earlier, Retained Earnings has increased for 58 straight quarters, with growth averaging 16.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 11.8% in fiscal Q2 2024 to 29.6% in fiscal Q2 2022.
- Per Business Quant data, LRCX's Retained Earnings in the three fiscal quarters before Q4 2026 was $33 billion (Q3 2026), $31.5 billion (Q2 2026) and $30.23 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 296.63 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 94.68 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 20.47 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 34.95 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 61.39 Bn |
| 10 | Arm Holdings | 310.17 Bn | 295.88 Bn | 1.25 Bn | 4.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 34.95 Bn |
| Mar 29, 2026 | 33.00 Bn |
| Dec 28, 2025 | 31.50 Bn |
| Sep 28, 2025 | 30.23 Bn |
| Jun 29, 2025 | 28.99 Bn |
| Mar 30, 2025 | 27.56 Bn |
| Dec 29, 2024 | 26.53 Bn |
| Sep 29, 2024 | 25.63 Bn |
| Jun 30, 2024 | 24.81 Bn |
| Mar 31, 2024 | 24.05 Bn |
| Dec 24, 2023 | 23.35 Bn |
| Sep 24, 2023 | 22.66 Bn |
| Jun 25, 2023 | 22.03 Bn |
| Mar 26, 2023 | 21.46 Bn |
| Dec 25, 2022 | 20.88 Bn |
| Sep 25, 2022 | 19.64 Bn |
| Jun 26, 2022 | 18.45 Bn |
| Mar 27, 2022 | 17.45 Bn |
| Dec 26, 2021 | 16.64 Bn |
| Sep 26, 2021 | 15.65 Bn |
API Access
Lam Research Retained Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=retained-earnings&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "LRCX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();