Tower Semiconductor (TSEM) Non-Current Assets (2009 - 2026)
Tower Semiconductor (TSEM) recorded Non-Current Assets of $1.79 billion in Q2 2026, up 24.0% from $1.44 billion a year earlier and up 6.8% from the prior quarter.
Tower Semiconductor (TSEM) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Tower Semiconductor reported Non-Current Assets of $1.61 billion, up 22.2% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 264.2% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $1.32 billion in FY2024, $1.67 million in FY2023 (-19.4%), $2.08 million in FY2022 (-43.4%) and $3.67 million in FY2021 (+45.7%).
- The Q2 2026 figure is the highest quarterly Non-Current Assets in data going back to Q1 2009.
- On a year-over-year basis, Non-Current Assets has increased for six consecutive quarters, with growth averaging 17.7% over the last seven quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 45.7% in Q4 2021, against a decline of 43.4% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.67 billion (Q1 2026), $1.61 billion (Q4 2025) and $1.47 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 122.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 150.94 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 135.98 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 104.82 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 52.94 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 23.44 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 145.23 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 7.92 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 18.43 Bn |
| 10 | Tower Semiconductor | 22.50 Bn | 17.14 Bn | 137.77 Mn | 1.79 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.79 Bn |
| Mar 31, 2026 | 1.67 Bn |
| Dec 31, 2025 | 1.61 Bn |
| Sep 30, 2025 | 1.47 Bn |
| Jun 30, 2025 | 1.44 Bn |
| Mar 31, 2025 | 1.38 Bn |
| Dec 31, 2024 | 1.32 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.25 Bn |
| Mar 31, 2024 | 1.23 Bn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 1.12 Bn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | 1.09 Bn |
| Dec 31, 2022 | 2.08 Mn |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 1.01 Bn |
| Dec 31, 2021 | 3.67 Mn |
| Sep 30, 2021 | 1.03 Bn |
Tower Semiconductor Non-Current Assets 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=non-current-assets&ticker=TSEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();