Taiwan Semiconductor Manufacturing (TSM) EV to EBIT (2009 - 2026)
Taiwan Semiconductor Manufacturing's (TSM) EV to EBIT stood at 29.68 in the quarter ended Jun 30, 2026, up 42.4% from 20.85 a year earlier and up 27.0% from the prior quarter.
Taiwan Semiconductor Manufacturing (TSM) EV to EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Taiwan Semiconductor Manufacturing's EV to EBIT came in at 26.26 as of Jun 30, 2026, up 54.4% year-over-year; for the year ended Dec 31, 2025, it was 24.10, up 3.9% from the prior year.
- Annual EV to EBIT has increased for three straight years.
- Across earlier years, EV to EBIT came in at 23.20 in the year ended Dec 31, 2024 (+39.6%), 16.61 in the year ended Dec 31, 2023 (+84.2%), 9.02 in the year ended Dec 31, 2022 (-64.1%) and 25.11 in the year ended Dec 31, 2021 (-6.4%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly EV to EBIT in data going back to the quarter ended Mar 31, 2009.
- On a year-over-year basis, EV to EBIT has increased for four consecutive quarters, with growth averaging 20.1% over the last eight quarters.
- Peak year-over-year performance for EV to EBIT in the last five years was growth of 89.9% in the quarter ended Jun 30, 2024, against a decline of 63.6% in the quarter ended Dec 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 23.37 (quarter ended Mar 31, 2026), 23.82 (quarter ended Dec 31, 2025) and 23.46 (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 | 29.68 |
| Mar 31, 2026 | 23.37 |
| Dec 31, 2025 | 23.82 |
| Sep 30, 2025 | 23.46 |
| Jun 30, 2025 | 20.85 |
| Mar 31, 2025 | 16.94 |
| Dec 31, 2024 | 22.79 |
| Sep 30, 2024 | 23.28 |
| Jun 30, 2024 | 26.26 |
| Mar 31, 2024 | 21.77 |
| Dec 31, 2023 | 16.65 |
| Sep 30, 2023 | 12.87 |
| Jun 30, 2023 | 13.83 |
| Mar 31, 2023 | 11.74 |
| Dec 31, 2022 | 9.14 |
| Sep 30, 2022 | 9.26 |
| Jun 30, 2022 | 12.84 |
| Mar 31, 2022 | 19.24 |
| Dec 31, 2021 | 25.10 |
| Sep 30, 2021 | 24.63 |
Taiwan Semiconductor Manufacturing EV to EBIT 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=ev-to-ebit&ticker=TSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();