Tower Semiconductor (TSEM) Cash & Equivalents (2009 - 2026)
Tower Semiconductor's Cash & Equivalents came in at $231.19 million for Q2 2026, down 15.9% from $274.82 million a year earlier and down 5.0% from the prior quarter.
Tower Semiconductor (TSEM) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Tower Semiconductor's Cash & Equivalents was $235.37 million, down 13.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $271.89 million in FY2024 (+4.3%), $260.66 million in FY2023 (-23.5%), $340.76 million in FY2022 and $23.47 million in FY2021 (-89.3%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q3 2022.
- Year-over-year, Cash & Equivalents has declined for three consecutive quarters, with an average decline of 5.0% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2023 (growth of 50.7%), and the weakest in Q4 2021 (a decline of 89.3%).
- Business Quant data shows TSEM's Cash & Equivalents at $243.31 million (Q1 2026), $235.37 million (Q4 2025) and $272.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Tower Semiconductor | 22.50 Bn | 17.14 Bn | 137.77 Mn | 231.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 231.19 Mn |
| Mar 31, 2026 | 243.31 Mn |
| Dec 31, 2025 | 235.37 Mn |
| Sep 30, 2025 | 272.74 Mn |
| Jun 30, 2025 | 265.29 Mn |
| Mar 31, 2025 | 274.82 Mn |
| Dec 31, 2024 | 271.89 Mn |
| Sep 30, 2024 | 270.98 Mn |
| Jun 30, 2024 | 265.31 Mn |
| Mar 31, 2024 | 260.50 Mn |
| Dec 31, 2023 | 260.66 Mn |
| Sep 30, 2023 | 314.82 Mn |
| Jun 30, 2023 | 318.20 Mn |
| Mar 31, 2023 | 304.93 Mn |
| Dec 31, 2022 | 340.76 Mn |
| Sep 30, 2022 | 390.37 Mn |
| Jun 30, 2022 | 211.18 Mn |
| Mar 31, 2022 | 203.48 Mn |
| Dec 31, 2021 | 210.93 Mn |
| Sep 30, 2021 | 211.50 Mn |
Tower Semiconductor Cash & Equivalents 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=cash-and-equivalents&ticker=TSEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();