STMicroelectronics (STM) EV to EBIT (2010 - 2026)
STMicroelectronics' (STM) EV to EBIT came in at 74.15 for the quarter ended Jun 27, 2026, up 97.4% from 37.57 a year earlier and up 34.9% from the prior quarter.
STMicroelectronics (STM) EV to EBIT (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EV to EBIT at STMicroelectronics was 61.78, up 329.5% year-over-year; for the year ended Dec 31, 2025, it was 61.11, up 475.9% from the prior year.
- Annual EV to EBIT has increased for three consecutive years.
- In prior years, STMicroelectronics' EV to EBIT was 10.61 in the year ended Dec 31, 2024 (+21.1%), 8.76 in the year ended Dec 31, 2023 (+37.6%), 6.37 in the year ended Dec 31, 2022 (-62.3%) and 16.89 in the year ended Dec 31, 2021 (-27.3%).
- The figure for the quarter ended Jun 27, 2026 stands as the highest quarterly EV to EBIT since the quarter ended Jun 27, 2015.
- On a year-over-year basis, EV to EBIT has increased in each of the last nine quarters, with growth averaging 216.6% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBIT in the past five years was the quarter ended Dec 31, 2025, with growth of 479.0%; the weakest was the quarter ended Sep 30, 2022, with a decline of 64.5%.
- According to Business Quant data, EV to EBIT for the three prior quarters was 54.96 (quarter ended Mar 28, 2026), 61.88 (quarter ended Dec 31, 2025) and 52.65 (quarter ended Sep 27, 2025).
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
| Date | Value |
|---|---|
| Jun 27, 2026 | 74.15 |
| Mar 28, 2026 | 54.96 |
| Dec 31, 2025 | 61.88 |
| Sep 27, 2025 | 52.65 |
| Jun 28, 2025 | 37.57 |
| Mar 29, 2025 | 14.02 |
| Dec 31, 2024 | 10.69 |
| Sep 28, 2024 | 9.58 |
| Jun 29, 2024 | 9.49 |
| Mar 30, 2024 | 8.62 |
| Dec 31, 2023 | 8.79 |
| Sep 30, 2023 | 7.08 |
| Jun 30, 2023 | 9.21 |
| Mar 31, 2023 | 10.15 |
| Dec 31, 2022 | 6.37 |
| Sep 30, 2022 | 6.95 |
| Jun 30, 2022 | 8.46 |
| Mar 31, 2022 | 13.96 |
| Dec 31, 2021 | 15.79 |
| Sep 30, 2021 | 19.58 |
STMicroelectronics EV to EBIT 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=ev-to-ebit&ticker=STM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();