Taiwan Semiconductor Manufacturing (TSM) EBITDA (2009 - 2026)
Taiwan Semiconductor Manufacturing (TSM) reported EBITDA of $30.46 billion for Q2 2026, up 44.5% from $21.08 billion a year earlier and up 17.1% from the prior quarter.
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Analysis
Taiwan Semiconductor Manufacturing (TSM) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Taiwan Semiconductor Manufacturing's EBITDA came in at $101.99 billion, up 37.3% year-over-year; for FY2025, it was $83.65 billion, up 38.2% from FY2024.
- EBITDA has a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- By year, EBITDA came in at $60.54 billion in FY2024 (+27.5%), $47.47 billion in FY2023 (-5.9%), $50.43 billion in FY2022 (+31.5%) and $38.36 billion in FY2021 (+20.9%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q1 2009.
- Year over year, EBITDA has now increased in each of the last ten quarters, with growth averaging 40.6% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q2 2025 (growth of 51.5%); the low point was Q2 2023 (a decline of 17.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $26.02 billion (Q1 2026), $23.39 billion (Q4 2025) and $22.12 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 34.22 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 64.86 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 18.23 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 46.39 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 3.61 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 5.75 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Lam Research | 282.21 Bn | 258.26 Bn | 4.30 Bn | 3.41 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.22 Bn |
| Jun 30, 2026 | 30.56 Bn |
| Mar 31, 2026 | 26.11 Bn |
| Dec 31, 2025 | 23.48 Bn |
| Sep 30, 2025 | 22.22 Bn |
| Jun 30, 2025 | 21.20 Bn |
| Mar 31, 2025 | 17.74 Bn |
| Dec 31, 2024 | 19.40 Bn |
| Sep 30, 2024 | 16.41 Bn |
| Jun 30, 2024 | 14.00 Bn |
| Mar 31, 2024 | 13.02 Bn |
| Dec 31, 2023 | 12.99 Bn |
| Sep 30, 2023 | 11.89 Bn |
| Jun 30, 2023 | 10.65 Bn |
| Mar 31, 2023 | 11.27 Bn |
| Dec 31, 2022 | 13.85 Bn |
| Sep 30, 2022 | 13.75 Bn |
| Jun 30, 2022 | 12.82 Bn |
| Mar 31, 2022 | 11.98 Bn |
| Dec 31, 2021 | 10.58 Bn |
API Access
Taiwan Semiconductor Manufacturing EBITDA 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=ebitda&ticker=TSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();