ASE Technology Holding (ASX) Change in Property, Plant and Equipment (2010 - 2026)
ASE Technology Holding (ASX) recorded Change in Property, Plant and Equipment of $3.94 billion in Q3 2026, up 162.0% from $1.5 billion a year earlier and up 55.8% from the prior quarter.
ASE Technology Holding (ASX) Change in Property, Plant and Equipment (2010 - 2026) Analysis & Trends
On a TTM basis, ASE Technology Holding's Change in Property, Plant and Equipment came in at $9.19 billion as of Sep 30, 2026, up 82.7% year-over-year; for FY2025, it came in at -$5.17 billion.
- Across earlier years, Change in Property, Plant and Equipment came in at -$2.4 billion in FY2024, -$1.75 billion in FY2023, -$2.34 billion in FY2022 and -$2.5 billion in FY2021.
- The Q3 2026 figure is the highest quarterly Change in Property, Plant and Equipment in data going back to Q1 2010.
- On a year-over-year basis, Change in Property, Plant and Equipment has increased for ten consecutive quarters, with growth averaging 125.1% over the last eight quarters.
- Peak year-over-year performance for Change in Property, Plant and Equipment in the last five years was growth of 205.7% in Q2 2025, against a decline of 42.2% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.53 billion (Q2 2026), $1.51 billion (Q1 2026) and $1.22 billion (Q4 2025).
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 | ASE Technology Holding | 79.05 Bn | 67.38 Bn | 1.69 Bn | 3.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.94 Bn |
| Jun 30, 2026 | 2.53 Bn |
| Mar 31, 2026 | 1.51 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.50 Bn |
| Jun 30, 2025 | 1.40 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 977.40 Mn |
| Sep 30, 2024 | 613.05 Mn |
| Jun 30, 2024 | 457.72 Mn |
| Mar 31, 2024 | 398.76 Mn |
| Dec 31, 2023 | 373.01 Mn |
| Sep 30, 2023 | 457.46 Mn |
| Jun 30, 2023 | 396.10 Mn |
| Mar 31, 2023 | 500.77 Mn |
| Dec 31, 2022 | 644.90 Mn |
| Sep 30, 2022 | 567.79 Mn |
| Jun 30, 2022 | 589.48 Mn |
| Mar 31, 2022 | 614.83 Mn |
| Dec 31, 2021 | 594.26 Mn |
ASE Technology Holding 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=ASX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "ticker": "ASX", "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=ASX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();