Tower Semiconductor (TSEM) Total Debt (2009 - 2026)
Tower Semiconductor's Total Debt was $153.73 million in Q3 2026, down 6.3% from $164.09 million a year earlier but up 8.5% from the prior quarter.
Tower Semiconductor (TSEM) Total Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Tower Semiconductor came in at $161.52 million, down 10.7% from FY2024.
- Total Debt has now declined for three consecutive years, with a five-year compound annual growth rate of -10.7% (FY2020 to FY2025).
- In earlier years, Total Debt was $180.81 million in FY2024 (-21.9%), $231.56 million in FY2023 (-15.0%), $272.34 million in FY2022 (+17.9%) and $230.97 million in FY2021 (-18.6%).
- Quarterly Total Debt has moved between $141.7 million (Q2 2026) and $272.34 million (Q4 2022) over five years.
- Compared with a year earlier, Total Debt has declined for nine straight quarters, with an average decline of 13.3% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was Q4 2022 (growth of 17.9%); the worst was Q1 2025 (a decline of 22.5%).
- Per Business Quant data, TSEM's Total Debt in the three quarters before Q3 2026 was $141.7 million (Q2 2026), $155.86 million (Q1 2026) and $161.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 33.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 6.80 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 59.42 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 5.18 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 7.08 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 5.16 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 50.13 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 6.54 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 13.56 Bn |
| 10 | Tower Semiconductor | 15.37 Bn | 9.77 Bn | 178.76 Mn | 153.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 153.73 Mn |
| Jun 30, 2026 | 141.70 Mn |
| Mar 31, 2026 | 155.86 Mn |
| Dec 31, 2025 | 161.52 Mn |
| Sep 30, 2025 | 164.09 Mn |
| Jun 30, 2025 | 176.10 Mn |
| Mar 31, 2025 | 162.33 Mn |
| Dec 31, 2024 | 180.81 Mn |
| Sep 30, 2024 | 193.31 Mn |
| Jun 30, 2024 | 188.08 Mn |
| Mar 31, 2024 | 209.40 Mn |
| Dec 31, 2023 | 231.56 Mn |
| Sep 30, 2023 | 227.57 Mn |
| Jun 30, 2023 | 178.87 Mn |
| Mar 31, 2023 | 243.67 Mn |
| Dec 31, 2022 | 272.34 Mn |
| Sep 30, 2022 | 263.33 Mn |
| Jun 30, 2022 | 200.73 Mn |
| Mar 31, 2022 | 268.55 Mn |
| Dec 31, 2021 | 230.97 Mn |
Tower Semiconductor Total Debt 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=total-debt&ticker=TSEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();