ASE Technology Holding (ASX) Price to Earnings (2012 - 2026)
ASE Technology Holding's Price to Earnings was 51.40 in the quarter ended Jun 30, 2026, up 139.9% from 21.42 a year earlier and up 63.1% from the prior quarter.
ASE Technology Holding (ASX) Price to Earnings (2012 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at ASE Technology Holding came in at 27.81, up 26.4% from the prior year.
- Price to Earnings has now increased for three consecutive years.
- In earlier years, Price to Earnings was 22.00 in the year ended Dec 31, 2024 (+21.6%), 18.10 in the year ended Dec 31, 2023 (+173.8%), 6.61 in the year ended Dec 31, 2022 (-17.2%) and 7.98 in the year ended Dec 31, 2021 (-42.4%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Price to Earnings in data going back to the quarter ended Dec 31, 2012.
- Compared with a year earlier, Price to Earnings has increased for four straight quarters, with growth averaging 33.3% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was the quarter ended Dec 31, 2023 (growth of 209.0%); the worst was the quarter ended Jun 30, 2022 (a decline of 69.0%).
- Per Business Quant data, ASX's Price to Earnings in the three quarters before the quarter ended Jun 30, 2026 was 31.52 (quarter ended Mar 31, 2026), 27.28 (quarter ended Dec 31, 2025) and 21.74 (quarter ended Sep 30, 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 | ASE Technology Holding | 105.53 Bn | 94.27 Bn | 1.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.40 |
| Mar 31, 2026 | 31.52 |
| Dec 31, 2025 | 27.28 |
| Sep 30, 2025 | 21.74 |
| Jun 30, 2025 | 21.42 |
| Mar 31, 2025 | 18.22 |
| Dec 31, 2024 | 21.98 |
| Sep 30, 2024 | 21.01 |
| Jun 30, 2024 | 25.19 |
| Mar 31, 2024 | 23.96 |
| Dec 31, 2023 | 20.29 |
| Sep 30, 2023 | 13.42 |
| Jun 30, 2023 | 11.18 |
| Mar 31, 2023 | 9.59 |
| Dec 31, 2022 | 6.57 |
| Sep 30, 2022 | 4.08 |
| Jun 30, 2022 | 4.33 |
| Mar 31, 2022 | 6.37 |
| Dec 31, 2021 | 7.50 |
| Sep 30, 2021 | 11.13 |
ASE Technology Holding Price to Earnings 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=price-to-earnings&ticker=ASX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ASX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();