STMicroelectronics (STM) Sales of Property, Plant and Equipment (2011 - 2026)
STMicroelectronics (STM) posted Sales of Property, Plant and Equipment of $3 million for Q1 2026, up 50.0% from $2 million a year earlier.
STMicroelectronics (STM) Sales of Property, Plant and Equipment (2011 - 2026) Analysis & Trends
For FY2025, STMicroelectronics' Sales of Property, Plant and Equipment came in at $9 million, up 80.0% from FY2024.
- Annual Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In prior years, STMicroelectronics' Sales of Property, Plant and Equipment was $5 million in FY2024 (-37.5%), $8 million in FY2023 (+100.0%), $4 million in FY2022 (+100.0%) and $2 million in FY2021 (-50.0%).
- Quarterly Sales of Property, Plant and Equipment has run from a low of -$920 million in Q4 2022 to a high of $5 million in Q2 2023 over five years.
- On a year-over-year basis, Sales of Property, Plant and Equipment increased in four of the last six quarters, with growth averaging 70.0%.
- The strongest year-over-year quarter for Sales of Property, Plant and Equipment in the past five years was Q2 2025, with growth of 300.0%; the weakest was Q2 2024, with a decline of 80.0%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 3.27 Mn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 11.90 Mn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | - |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | - |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | - |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | - |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | - |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | STMicroelectronics | 41.54 Bn | 27.26 Bn | 1.40 Bn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 3.00 Mn |
| Mar 28, 2026 | 3.00 Mn |
| Sep 27, 2025 | 3.00 Mn |
| Jun 28, 2025 | 4.00 Mn |
| Mar 29, 2025 | 2.00 Mn |
| Sep 28, 2024 | 2.00 Mn |
| Jun 29, 2024 | 1.00 Mn |
| Mar 30, 2024 | 2.00 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jul 1, 2023 | 5.00 Mn |
| Apr 1, 2023 | 1.00 Mn |
| Dec 31, 2022 | -920.00 Mn |
| Oct 2, 2021 | 1.00 Mn |
| Dec 31, 2020 | -1.00 Mn |
| Sep 26, 2020 | 3.00 Mn |
| Jun 27, 2020 | 1.00 Mn |
| Mar 28, 2020 | 1.00 Mn |
| Sep 28, 2019 | 1.00 Mn |
| Dec 31, 2017 | 1.00 Mn |
STMicroelectronics Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=STM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();