Lam Research (LRCX) Cash & Equivalents (2009 - 2026)
Lam Research (LRCX) posted Cash & Equivalents of $5.58 billion for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 12.7% from $6.39 billion a year earlier but up 17.4% from the prior quarter.
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Analysis
Lam Research (LRCX) Cash & Equivalents (2009 - 2026) Analysis & Trends
Since fiscal Q1 2010, Lam Research has reported Cash & Equivalents for 67 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 4.8% (FY2021 to FY2026).
- In prior fiscal years, Lam Research's Cash & Equivalents was $6.39 billion in FY2025 (+9.3%), $5.85 billion in FY2024 (+9.6%), $5.34 billion in FY2023 (+51.5%) and $3.52 billion in FY2022 (-20.3%).
- Quarterly Cash & Equivalents has run from a low of $3.52 billion in fiscal Q4 2022 to a high of $6.69 billion in fiscal Q1 2026 over five years.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 2.3%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2023, with growth of 51.5%; the weakest was fiscal Q4 2022, with a decline of 20.3%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $4.75 billion (Q3 2026), $6.18 billion (Q2 2026) and $6.69 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,150.66 Bn | 4,924.82 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,177.77 Bn | 1,802.63 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,557.96 Bn | 1,484.00 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,000.35 Bn | 905.98 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 850.88 Bn | 807.62 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 610.33 Bn | 566.02 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 444.84 Bn | 313.97 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Applied Materials | 303.38 Bn | 268.82 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Lam Research | 288.62 Bn | 264.67 Bn | 4.30 Bn | 7.44 Bn |
| 10 | Texas Instruments | 260.14 Bn | 237.97 Bn | 3.35 Bn | 3.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 7.44 Bn |
| Jun 28, 2026 | 5.58 Bn |
| Mar 29, 2026 | 4.75 Bn |
| Dec 28, 2025 | 6.18 Bn |
| Sep 28, 2025 | 6.69 Bn |
| Jun 29, 2025 | 6.39 Bn |
| Mar 30, 2025 | 5.45 Bn |
| Dec 29, 2024 | 5.67 Bn |
| Sep 29, 2024 | 6.07 Bn |
| Jun 30, 2024 | 5.85 Bn |
| Mar 31, 2024 | 5.67 Bn |
| Dec 24, 2023 | 5.62 Bn |
| Sep 24, 2023 | 5.13 Bn |
| Jun 25, 2023 | 5.34 Bn |
| Mar 26, 2023 | 5.31 Bn |
| Dec 25, 2022 | 4.48 Bn |
| Sep 25, 2022 | 4.26 Bn |
| Jun 26, 2022 | 3.52 Bn |
| Mar 27, 2022 | 4.19 Bn |
| Dec 26, 2021 | 5.09 Bn |
API Access
Lam Research Cash & Equivalents 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=cash-and-equivalents&ticker=LRCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LRCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();