Tower Semiconductor (TSEM) EBITDA (2009 - 2026)
Tower Semiconductor (TSEM) posted EBITDA of $217.6 million for Q3 2026, up 71.3% from $127.04 million a year earlier and up 25.2% from the prior quarter.
Tower Semiconductor (TSEM) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Tower Semiconductor was $687.57 million, up 46.0% year-over-year; for FY2025, it was $497.28 million, up 8.7% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, Tower Semiconductor's EBITDA was $457.59 million in FY2024 (-43.2%), $805.29 million in FY2023 (+33.3%), $604.31 million in FY2022 (+38.2%) and $437.22 million in FY2021 (+31.9%).
- The Q3 2026 figure stands as the highest quarterly EBITDA since Q3 2023.
- On a year-over-year basis, EBITDA has increased in each of the last five quarters, with growth averaging 25.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2023, with growth of 178.3%; the weakest was Q3 2024, with a decline of 71.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $173.86 million (Q2 2026), $147.49 million (Q1 2026) and $148.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 64.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 30.56 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 18.23 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 46.39 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 3.61 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | - |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 5.75 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 3.23 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 3.45 Bn |
| 10 | Tower Semiconductor | 15.37 Bn | 9.77 Bn | 178.76 Mn | 217.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 217.60 Mn |
| Jun 30, 2026 | 173.86 Mn |
| Mar 31, 2026 | 147.49 Mn |
| Dec 31, 2025 | 148.62 Mn |
| Sep 30, 2025 | 127.04 Mn |
| Jun 30, 2025 | 114.50 Mn |
| Mar 31, 2025 | 107.13 Mn |
| Dec 31, 2024 | 122.24 Mn |
| Sep 30, 2024 | 121.11 Mn |
| Jun 30, 2024 | 120.72 Mn |
| Mar 31, 2024 | 93.53 Mn |
| Dec 31, 2023 | 110.35 Mn |
| Sep 30, 2023 | 429.03 Mn |
| Jun 30, 2023 | 114.11 Mn |
| Mar 31, 2023 | 151.80 Mn |
| Dec 31, 2022 | 178.63 Mn |
| Sep 30, 2022 | 154.17 Mn |
| Jun 30, 2022 | 137.68 Mn |
| Mar 31, 2022 | 133.84 Mn |
| Dec 31, 2021 | 129.56 Mn |
Tower Semiconductor 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=TSEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "TSEM", "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=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();