Intel (INTC) Price to Earnings (2009 - 2025)
Intel's Price to Earnings was 854.51 in Q3 2025.
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Analysis
Intel (INTC) Price to Earnings (2009 - 2025) Analysis & Trends
For FY2023, Price to Earnings at Intel came in at 125.79, up 822.0% from FY2022.
- Price to Earnings has now increased for three consecutive years.
- In earlier years, Price to Earnings was 13.64 in FY2022 (+29.8%), 10.51 in FY2021 (+14.9%), 9.15 in FY2020 (-25.3%) and 12.25 in FY2019 (+22.1%).
- The Q3 2025 figure marks the highest quarterly Price to Earnings in data going back to Q1 2009.
- The best year-over-year quarter for Price to Earnings over five years was Q4 2023 (growth of 822.0%); the worst was Q1 2022 (a decline of 43.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 854.51 |
| Jun 29, 2024 | 135.82 |
| Mar 30, 2024 | 46.24 |
| Dec 30, 2023 | 125.79 |
| Dec 31, 2022 | 13.64 |
| Oct 1, 2022 | 8.00 |
| Jul 2, 2022 | 7.81 |
| Apr 2, 2022 | 7.99 |
| Dec 25, 2021 | 10.51 |
| Sep 25, 2021 | 10.45 |
| Jun 26, 2021 | 12.22 |
| Mar 27, 2021 | 14.08 |
| Dec 26, 2020 | 9.15 |
| Sep 26, 2020 | 9.32 |
| Jun 27, 2020 | 10.34 |
| Mar 28, 2020 | 9.75 |
| Dec 28, 2019 | 12.25 |
| Sep 28, 2019 | 11.42 |
| Jun 29, 2019 | 10.74 |
| Mar 30, 2019 | 11.69 |
API Access
Intel 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=INTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "INTC", "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=INTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();