Tower Semiconductor (TSEM) Cash & Equivalents (2009 - 2026)
Tower Semiconductor's Cash & Equivalents came in at $250.75 million for Q3 2026, down 8.1% from $272.74 million a year earlier but up 8.5% 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 2.1% (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 (+61.6%) and $210.93 million in FY2021 (-0.4%).
- The five-year range for quarterly Cash & Equivalents is $203.48 million (Q1 2022) to $390.37 million (Q3 2022).
- Year-over-year, Cash & Equivalents has declined for four consecutive quarters, with an average decline of 4.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2022 (growth of 84.6%), and the weakest in Q4 2023 (a decline of 23.5%).
- Business Quant data shows TSEM's Cash & Equivalents at $231.19 million (Q2 2026), $243.31 million (Q1 2026) and $235.37 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,305.34 Bn | 4,079.50 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,021.91 Bn | 1,646.78 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,530.70 Bn | 1,456.74 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 826.81 Bn | 732.44 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 821.75 Bn | 769.97 Bn | 7.21 Bn | 7.40 Bn |
| 6 | Asml Holding | 587.35 Bn | 543.04 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 305.43 Bn | 151.49 Bn | 7.10 Bn | 21.85 Bn |
| 8 | Applied Materials | 294.21 Bn | 259.65 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Lam Research | 272.16 Bn | 248.21 Bn | 4.30 Bn | 7.44 Bn |
| 10 | Tower Semiconductor | 16.90 Bn | 11.30 Bn | 178.76 Mn | 250.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 250.75 Mn |
| 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 |
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();