STMicroelectronics (STM) EBITDA (2009 - 2026)
STMicroelectronics' EBITDA was $625 million in the quarter ended Mar 28, 2026, up 45.0% from $431 million a year earlier but down 16.2% from the prior quarter.
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Analysis
STMicroelectronics (STM) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, STMicroelectronics' EBITDA was $2.62 billion through Mar 28, 2026, down 28.5% year-over-year; for the year ended Dec 31, 2025, it was $2.46 billion, down 34.3% from the prior year.
- EBITDA shows a five-year compound annual growth rate of 1.8% (years ended Dec 2020 to Dec 2025).
- In earlier years, EBITDA was $3.74 billion in the year ended Dec 31, 2024 (-39.3%), $6.17 billion in the year ended Dec 31, 2023 (+9.1%), $5.66 billion in the year ended Dec 31, 2022 (+63.3%) and $3.46 billion in the year ended Dec 31, 2021 (+54.2%).
- Quarterly EBITDA has moved between $431 million (the quarter ended Mar 29, 2025) and $1.64 billion (the quarter ended Sep 30, 2023) over five years.
- Compared with a year earlier, EBITDA was higher in 1 of the last four quarters, with an average decline of 15.8%.
- The best year-over-year quarter for EBITDA over five years was the quarter ended Sep 30, 2022 (growth of 82.3%); the worst was the quarter ended Mar 29, 2025 (a decline of 56.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 64.86 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 | 18.17 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.23 Bn |
| 10 | STMicroelectronics | 50.91 Bn | 37.11 Bn | 1.22 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 625.00 Mn |
| Dec 31, 2025 | 746.00 Mn |
| Mar 29, 2025 | 431.00 Mn |
| Dec 31, 2024 | 820.00 Mn |
| Mar 30, 2024 | 981.00 Mn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.64 Bn |
| Jun 30, 2023 | 1.53 Bn |
| Mar 31, 2023 | 1.57 Bn |
| Dec 31, 2022 | 1.62 Bn |
| Sep 30, 2022 | 1.58 Bn |
| Jun 30, 2022 | 1.29 Bn |
| Mar 31, 2022 | 1.16 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 869.00 Mn |
| Mar 31, 2021 | 696.00 Mn |
| Dec 31, 2020 | 912.00 Mn |
| Mar 28, 2020 | 442.00 Mn |
| Dec 31, 2019 | 680.00 Mn |
| Mar 30, 2019 | 417.00 Mn |
API Access
STMicroelectronics EBITDA 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=ebitda&ticker=STM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();