STMicroelectronics (STM) Price to Earnings (2010 - 2026)
STMicroelectronics' (STM) Price to Earnings stood at 132.24 in the quarter ended Jun 27, 2026, up 223.3% from 40.90 a year earlier but down 26.4% from the prior quarter.
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Analysis
STMicroelectronics (STM) Price to Earnings (2010 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, STMicroelectronics' Price to Earnings came in at 73.66, up 555.2% from the prior year.
- Annual Price to Earnings has increased for three straight years.
- Across earlier years, Price to Earnings came in at 11.24 in the year ended Dec 31, 2024 (+4.6%), 10.75 in the year ended Dec 31, 2023 (+44.7%), 7.43 in the year ended Dec 31, 2022 (-66.5%) and 22.16 in the year ended Dec 31, 2021 (-27.6%).
- Quarterly Price to Earnings has ranged from 8.10 in the quarter ended Sep 30, 2022 to 179.63 in the quarter ended Mar 28, 2026 over the past five years.
- On a year-over-year basis, Price to Earnings has increased for nine consecutive quarters, with growth averaging 328.8% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 903.1% in the quarter ended Mar 28, 2026, against a decline of 66.1% in the quarter ended Sep 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 179.63 (quarter ended Mar 28, 2026), 132.50 (quarter ended Dec 31, 2025) and 46.66 (quarter ended Sep 27, 2025).
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 | STMicroelectronics | 50.91 Bn | 37.11 Bn | 1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 132.24 |
| Mar 28, 2026 | 179.63 |
| Dec 31, 2025 | 132.50 |
| Sep 27, 2025 | 46.66 |
| Jun 28, 2025 | 40.90 |
| Mar 29, 2025 | 17.91 |
| Dec 31, 2024 | 14.30 |
| Sep 28, 2024 | 11.90 |
| Jun 29, 2024 | 11.70 |
| Mar 30, 2024 | 10.61 |
| Dec 31, 2023 | 10.75 |
| Sep 30, 2023 | 8.90 |
| Jun 30, 2023 | 10.29 |
| Mar 31, 2023 | 11.35 |
| Dec 31, 2022 | 8.12 |
| Sep 30, 2022 | 8.10 |
| Jun 30, 2022 | 10.05 |
| Mar 31, 2022 | 16.78 |
| Dec 31, 2021 | 20.42 |
| Sep 30, 2021 | 23.92 |
API Access
STMicroelectronics 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=STM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "STM", "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=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();