STMicroelectronics (STM) EPS (Diluted) (2009 - 2026)
STMicroelectronics' EPS (Diluted) came in at $0.24 for the quarter ended Jun 27, 2026, compared with -$0.10 a year earlier and up 416.3% from the prior quarter.
STMicroelectronics (STM) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, STMicroelectronics reported EPS (Diluted) of $0.52, down 26.1% year-over-year; for the year ended Dec 31, 2025, it came in at $0.34, down 84.0% from the prior year.
- EPS (Diluted) has declined in each of the last three years, with a five-year compound annual growth rate of -22.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, EPS (Diluted) was $2.12 in the year ended Dec 31, 2024 (-52.4%), $4.46 in the year ended Dec 31, 2023 (-2.5%), $4.58 in the year ended Dec 31, 2022 (+111.6%) and $2.16 in the year ended Dec 31, 2021 (+79.8%).
- The five-year range for quarterly EPS (Diluted) is -$0.10 (the quarter ended Jun 28, 2025) to $1.32 (the quarter ended Dec 31, 2022).
- The fastest year-over-year change in EPS (Diluted) over five years came in the quarter ended Sep 30, 2022 (growth of 130.6%), and the weakest in the quarter ended Mar 29, 2025 (a decline of 89.0%).
- Business Quant data shows STM's EPS (Diluted) at $0.05 (quarter ended Mar 28, 2026), -$0.03 (quarter ended Dec 31, 2025) and $0.25 (quarter ended Sep 27, 2025) in the three quarters before the quarter ended Jun 27, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 4.42 |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 24.67 |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -2.16 |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 1.81 |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.17 |
| 10 | STMicroelectronics | 50.91 Bn | 37.11 Bn | 1.22 Bn | 0.24 |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 0.24 |
| Mar 28, 2026 | 0.05 |
| Dec 31, 2025 | -0.03 |
| Sep 27, 2025 | 0.25 |
| Jun 28, 2025 | -0.10 |
| Mar 29, 2025 | 0.06 |
| Dec 31, 2024 | 0.36 |
| Sep 28, 2024 | 0.38 |
| Jun 29, 2024 | 0.37 |
| Mar 30, 2024 | 0.54 |
| Dec 31, 2023 | 1.14 |
| Sep 30, 2023 | 1.15 |
| Jun 30, 2023 | 1.06 |
| Mar 31, 2023 | 1.10 |
| Dec 31, 2022 | 1.32 |
| Sep 30, 2022 | 1.19 |
| Jun 30, 2022 | 0.94 |
| Mar 31, 2022 | 0.81 |
| Dec 31, 2021 | 0.81 |
| Sep 30, 2021 | 0.52 |
STMicroelectronics EPS (Diluted) 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=eps-diluted&ticker=STM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();