Tower Semiconductor (TSEM) Other Operating Expenses (2011 - 2023)
Tower Semiconductor (TSEM) recorded Other Operating Expenses of -$320.78 million in Q3 2026, compared with -$280.57 million a year earlier.
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Analysis
Tower Semiconductor (TSEM) Other Operating Expenses (2011 - 2023) Analysis & Trends
On a TTM basis, Tower Semiconductor's Other Operating Expenses came in at -$1.2 billion as of Sep 30, 2026; for FY2025, it was -$1.12 billion.
- Across earlier years, Other Operating Expenses came in at -$1.02 billion in FY2024, -$1.36 billion in FY2023, -$1.15 billion in FY2022 and -$1.09 billion in FY2021.
- The Q3 2026 figure is the lowest quarterly Other Operating Expenses since Q3 2020.
- Per Business Quant, the preceding three quarters came in at -$298.74 million (Q2 2026), -$279.15 million (Q1 2026) and -$297.74 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn |
| 10 | Tower Semiconductor | 15.37 Bn | 9.77 Bn | 178.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -1.95 Mn |
| Jun 30, 2013 | 1.87 Mn |
| Dec 31, 2011 | -3.34 Mn |
| Sep 30, 2011 | 3.34 Mn |
API Access
Tower Semiconductor Other Operating Expenses 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=other-operating-expenses&ticker=TSEM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();