STMicroelectronics (STM) Change in Property, Plant and Equipment (2009 - 2026)
STMicroelectronics' Change in Property, Plant and Equipment came in at $3 million for Q1 2026, up 50.0% from $2 million a year earlier but down 99.2% from the prior quarter.
STMicroelectronics (STM) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
For FY2025, STMicroelectronics' Change in Property, Plant and Equipment was $9 million, up 80.0% from FY2024.
- Change in Property, Plant and Equipment carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Change in 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%).
- The five-year range for quarterly Change in Property, Plant and Equipment is $1 million (Q3 2021) to $1.15 billion (Q3 2023).
- Year-over-year, Change in Property, Plant and Equipment increased in three of the last eight quarters, with growth averaging 20.2%.
- The fastest year-over-year change in Change in Property, Plant and Equipment over five years came in Q2 2025 (growth of 300.0%), and the weakest in Q3 2024 (a decline of 99.8%).
- Business Quant data shows STM's Change in Property, Plant and Equipment at $395 million (Q4 2025), $3 million (Q3 2025) and $4 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 7.12 Bn |
| 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 | -2.68 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 1.01 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | -11.11 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | -648.00 Mn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | -4.02 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 |
| Dec 31, 2025 | 395.00 Mn |
| Sep 27, 2025 | 3.00 Mn |
| Jun 28, 2025 | 4.00 Mn |
| Mar 29, 2025 | 2.00 Mn |
| Dec 31, 2024 | 501.00 Mn |
| Sep 28, 2024 | 2.00 Mn |
| Jun 29, 2024 | 1.00 Mn |
| Mar 30, 2024 | 2.00 Mn |
| Dec 31, 2023 | 799.00 Mn |
| Sep 30, 2023 | 1.15 Bn |
| Jul 1, 2023 | 5.00 Mn |
| Apr 1, 2023 | 1.00 Mn |
| Dec 31, 2021 | 548.00 Mn |
| Oct 2, 2021 | 1.00 Mn |
| Dec 31, 2020 | 380.00 Mn |
| Sep 26, 2020 | 3.00 Mn |
| Jun 27, 2020 | 1.00 Mn |
| Mar 28, 2020 | 1.00 Mn |
STMicroelectronics Change in 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=change-in-property-plant-and-equipment&ticker=STM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-property-plant-and-equipment&ticker=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();