Lam Research (LRCX) Price to Book (2010 - 2026)
Lam Research's (LRCX) Price to Book came in at 38.04 for fiscal Q4 2026 (quarter ended Jun 28, 2026), up 204.2% from 12.51 a year earlier and up 52.3% from the prior quarter.
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Analysis
Lam Research (LRCX) Price to Book (2010 - 2026) Analysis & Trends
Since fiscal Q4 2010, Lam Research has reported Price to Book for 64 quarters.
- In prior fiscal years, Lam Research's Price to Book was 12.51 in FY2025 (-23.1%), 16.26 in FY2024 (+64.5%), 9.88 in FY2023 (+0.6%) and 9.82 in FY2022 (-34.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Price to Book in data going back to fiscal Q4 2010.
- On a year-over-year basis, Price to Book has increased in each of the last four quarters, with growth averaging 54.9% over the last eight quarters.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q4 2026, with growth of 204.2%; the weakest was fiscal Q2 2023, with a decline of 55.6%.
- According to Business Quant data, Price to Book for the three prior fiscal quarters was 24.98 (Q3 2026), 21.96 (Q2 2026) and 15.85 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Arm Holdings | 307.33 Bn | 293.04 Bn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 38.04 |
| Mar 29, 2026 | 24.98 |
| Dec 28, 2025 | 21.96 |
| Sep 28, 2025 | 15.85 |
| Jun 29, 2025 | 12.51 |
| Mar 30, 2025 | 9.79 |
| Dec 29, 2024 | 10.71 |
| Sep 29, 2024 | 12.61 |
| Jun 30, 2024 | 16.26 |
| Mar 31, 2024 | 15.83 |
| Dec 24, 2023 | 12.45 |
| Sep 24, 2023 | 10.16 |
| Jun 25, 2023 | 9.88 |
| Mar 26, 2023 | 8.04 |
| Dec 25, 2022 | 6.72 |
| Sep 25, 2022 | 7.00 |
| Jun 26, 2022 | 9.82 |
| Mar 27, 2022 | 12.77 |
| Dec 26, 2021 | 15.13 |
| Sep 26, 2021 | 14.82 |
API Access
Lam Research Price to Book 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=price-to-book&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();