Tower Semiconductor (TSEM) Revenue (2009 - 2026)
Tower Semiconductor (TSEM) recorded Revenue of $460.08 million in Q2 2026, up 23.7% from $372.06 million a year earlier and up 11.2% from the prior quarter.
Tower Semiconductor (TSEM) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Tower Semiconductor's Revenue came in at $1.71 billion as of Jun 30, 2026, up 14.9% year-over-year; for FY2025, it came in at $1.57 billion, up 9.1% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $1.44 billion in FY2024 (+0.9%), $1.42 billion in FY2023 (-15.2%), $1.68 billion in FY2022 (+11.2%) and $1.51 billion in FY2021 (+19.2%).
- The Q2 2026 figure is the highest quarterly Revenue since Q3 2020.
- On a year-over-year basis, Revenue has increased for eight consecutive quarters, with growth averaging 11.1% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 23.7% in Q2 2026, against a decline of 58.0% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $413.63 million (Q1 2026), $440.21 million (Q4 2025) and $395.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 96.22 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 40.19 Bn |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 29.59 Bn |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 54.23 Bn |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 11.54 Bn |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 11.35 Bn |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | 16.13 Bn |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 9.12 Bn |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 8.22 Bn |
| 10 | Tower Semiconductor | 18.66 Bn | 13.31 Bn | 137.77 Mn | 460.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 460.08 Mn |
| Mar 31, 2026 | 413.63 Mn |
| Dec 31, 2025 | 440.21 Mn |
| Sep 30, 2025 | 395.67 Mn |
| Jun 30, 2025 | 372.06 Mn |
| Mar 31, 2025 | 358.17 Mn |
| Dec 31, 2024 | 387.19 Mn |
| Sep 30, 2024 | 370.51 Mn |
| Jun 30, 2024 | 351.18 Mn |
| Mar 31, 2024 | 327.24 Mn |
| Dec 31, 2023 | 351.71 Mn |
| Sep 30, 2023 | 358.17 Mn |
| Jun 30, 2023 | 357.19 Mn |
| Mar 31, 2023 | 355.61 Mn |
| Dec 31, 2022 | 403.23 Mn |
| Sep 30, 2022 | 427.09 Mn |
| Jun 30, 2022 | 426.17 Mn |
| Mar 31, 2022 | 421.13 Mn |
| Dec 31, 2021 | 412.11 Mn |
| Sep 30, 2021 | 386.71 Mn |
Tower Semiconductor Revenue 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=revenue&ticker=TSEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();