Taiwan Semiconductor Manufacturing (TSM) Price to Earnings (2009 - 2026)
Taiwan Semiconductor Manufacturing's (TSM) Price to Earnings was 34.17 for the quarter ended Jun 30, 2026, up 6.8% from 32.00 a year earlier and up 5.9% from the prior quarter.
Taiwan Semiconductor Manufacturing (TSM) Price to Earnings (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Taiwan Semiconductor Manufacturing was 30.13, up 10.4% from the prior year.
- Price to Earnings has increased for three consecutive years.
- By year, Price to Earnings came in at 27.29 in the year ended Dec 31, 2024 (+39.4%), 19.57 in the year ended Dec 31, 2023 (+70.7%), 11.46 in the year ended Dec 31, 2022 (-61.3%) and 29.60 in the year ended Dec 31, 2021 (-10.4%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Price to Earnings since the quarter ended Mar 31, 2021.
- Year over year, Price to Earnings has now increased in each of the last five quarters, with growth averaging 23.7% over the last eight quarters.
- The high point for year-over-year Price to Earnings in five years was the quarter ended Jun 30, 2024 (growth of 84.5%); the low point was the quarter ended Sep 30, 2022 (a decline of 60.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 32.28 (quarter ended Mar 31, 2026), 33.41 (quarter ended Dec 31, 2025) and 34.11 (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 | Arm Holdings | 326.25 Bn | 311.96 Bn | 1.25 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.17 |
| Mar 31, 2026 | 32.28 |
| Dec 31, 2025 | 33.41 |
| Sep 30, 2025 | 34.11 |
| Jun 30, 2025 | 32.00 |
| Mar 31, 2025 | 21.73 |
| Dec 31, 2024 | 28.59 |
| Sep 30, 2024 | 29.10 |
| Jun 30, 2024 | 31.91 |
| Mar 31, 2024 | 26.40 |
| Dec 31, 2023 | 20.54 |
| Sep 30, 2023 | 16.29 |
| Jun 30, 2023 | 17.29 |
| Mar 31, 2023 | 14.97 |
| Dec 31, 2022 | 11.79 |
| Sep 30, 2022 | 11.72 |
| Jun 30, 2022 | 15.90 |
| Mar 31, 2022 | 23.11 |
| Dec 31, 2021 | 29.54 |
| Sep 30, 2021 | 29.54 |
Taiwan Semiconductor Manufacturing 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=TSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "TSM", "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=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();