Applied Materials (AMAT) Price to Earnings (2009 - 2026)
Applied Materials' (AMAT) Price to Earnings stood at 29.68 in fiscal Q4 2026 (quarter ended Oct 25, 2026), up 112.5% from 13.96 a year earlier but down 35.4% from the prior quarter.
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Analysis
Applied Materials (AMAT) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2026 (ended Oct 25, 2026), Applied Materials' Price to Earnings came in at 29.65, up 14.4% from FY2025.
- Annual Price to Earnings has increased for four straight fiscal years.
- Across earlier fiscal years, Price to Earnings came in at 25.92 in FY2025 (+21.9%), 21.26 in FY2024 (+33.3%), 15.95 in FY2023 (+37.5%) and 11.61 in FY2022 (-43.9%).
- Quarterly Price to Earnings has ranged from 9.54 in fiscal Q2 2025 to 45.92 in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Price to Earnings has increased for three consecutive quarters, with growth averaging 96.0% over the last six quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 308.0% in fiscal Q2 2026, against a decline of 58.6% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 45.92 (Q3 2026), 38.92 (Q2 2026) and 32.64 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 25, 2026 | 29.68 |
| Jul 26, 2026 | 45.92 |
| Apr 26, 2026 | 38.92 |
| Jan 25, 2026 | 32.64 |
| Oct 26, 2025 | 13.96 |
| Jul 27, 2025 | 11.54 |
| Apr 27, 2025 | 9.54 |
| Dec 31, 2024 | 10.90 |
| Oct 27, 2024 | 21.26 |
| Jul 28, 2024 | 22.85 |
| Apr 28, 2024 | 23.05 |
| Jan 28, 2024 | 19.37 |
| Oct 29, 2023 | 15.95 |
| Jul 30, 2023 | 19.73 |
| Apr 30, 2023 | 14.63 |
| Jan 29, 2023 | 14.74 |
| Oct 30, 2022 | 11.61 |
| Jul 31, 2022 | 13.72 |
| May 1, 2022 | 14.21 |
| Jan 30, 2022 | 17.86 |
API Access
Applied Materials Price to 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=price-to-earnings&ticker=AMAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "AMAT", "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-earnings&ticker=AMAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();