Lam Research (LRCX) EPS (Diluted) (2009 - 2026)
Lam Research's EPS (Diluted) came in at $1.81 for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 35.4% from $1.33 a year earlier and up 24.4% from the prior quarter.
Lam Research (LRCX) EPS (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Lam Research's EPS (Diluted) was $5.76, up 38.7% from FY2025.
- EPS (Diluted) carries a five-year compound annual growth rate of 16.5% (FY2021 to FY2026).
- Going back by fiscal year, EPS (Diluted) was $4.15 in FY2025 (+43.2%), $2.90 in FY2024 (-12.7%), $3.32 in FY2023 (+1.4%) and $3.27 in FY2022 (+21.8%).
- The fiscal Q4 2026 figure represents the highest quarterly EPS (Diluted) in data going back to fiscal Q1 2010.
- Year-over-year, EPS (Diluted) has increased for ten consecutive quarters, with growth averaging 40.8% over the last eight quarters.
- The fastest year-over-year change in EPS (Diluted) over five years came in fiscal Q4 2025 (growth of 72.5%), and the weakest in fiscal Q1 2024 (a decline of 35.9%).
- Business Quant data shows LRCX's EPS (Diluted) at $1.45 (Q3 2026), $1.26 (Q2 2026) and $1.24 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,159.12 Bn | 4,933.28 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,142.92 Bn | 1,767.78 Bn | 27.22 Bn | 4.31 |
| 3 | Broadcom | 1,542.47 Bn | 1,468.51 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 981.09 Bn | 886.72 Bn | 47.05 Bn | 32.98 |
| 5 | Advanced Micro Devices | 834.88 Bn | 791.63 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 618.43 Bn | 574.12 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 444.76 Bn | 313.90 Bn | 6.51 Bn | -2.16 |
| 8 | Applied Materials | 302.94 Bn | 268.38 Bn | 4.59 Bn | 3.17 |
| 9 | Lam Research | 294.33 Bn | 271.12 Bn | 3.48 Bn | 1.81 |
| 10 | Texas Instruments | 255.10 Bn | 232.93 Bn | 3.35 Bn | 2.14 |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.81 |
| Mar 29, 2026 | 1.45 |
| Dec 28, 2025 | 1.26 |
| Sep 28, 2025 | 1.24 |
| Jun 29, 2025 | 1.33 |
| Mar 30, 2025 | 1.03 |
| Dec 29, 2024 | 0.92 |
| Sep 29, 2024 | 0.86 |
| Jun 30, 2024 | 0.77 |
| Mar 31, 2024 | 0.73 |
| Dec 24, 2023 | 0.72 |
| Sep 24, 2023 | 0.67 |
| Jun 25, 2023 | 0.59 |
| Mar 26, 2023 | 0.60 |
| Dec 25, 2022 | 1.08 |
| Sep 25, 2022 | 1.04 |
| Jun 26, 2022 | 0.86 |
| Mar 27, 2022 | 0.73 |
| Dec 26, 2021 | 0.84 |
| Sep 26, 2021 | 0.83 |
Lam Research EPS (Diluted) 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=eps-diluted&ticker=LRCX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();