Tower Semiconductor (TSEM) Total Liabilities (2009 - 2026)
Tower Semiconductor (TSEM) reported Total Liabilities of $809.08 million for Q3 2026, up 92.6% from $420.02 million a year earlier and up 15.6% from the prior quarter.
Tower Semiconductor (TSEM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tower Semiconductor posted Total Liabilities of $417.71 million, down 2.2% from FY2024.
- Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $427.17 million in FY2024 (-13.1%), $491.48 million in FY2023 (-25.4%), $659.07 million in FY2022 (+7.0%) and $615.85 million in FY2021 (-3.7%).
- The Q3 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q1 2009.
- Year over year, Total Liabilities has now increased in each of the last three quarters, with growth averaging 23.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2026 (growth of 92.6%); the low point was Q4 2023 (a decline of 25.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $700.06 million (Q2 2026), $726.52 million (Q1 2026) and $417.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 26.42 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 97.02 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 17.90 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 17.65 Bn |
| 10 | Tower Semiconductor | 15.37 Bn | 9.77 Bn | 178.76 Mn | 809.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 809.08 Mn |
| Jun 30, 2026 | 700.06 Mn |
| Mar 31, 2026 | 726.52 Mn |
| Dec 31, 2025 | 417.71 Mn |
| Sep 30, 2025 | 420.02 Mn |
| Jun 30, 2025 | 428.97 Mn |
| Mar 31, 2025 | 406.59 Mn |
| Dec 31, 2024 | 427.17 Mn |
| Sep 30, 2024 | 452.17 Mn |
| Jun 30, 2024 | 449.45 Mn |
| Mar 31, 2024 | 514.35 Mn |
| Dec 31, 2023 | 491.48 Mn |
| Sep 30, 2023 | 486.98 Mn |
| Jun 30, 2023 | 522.97 Mn |
| Mar 31, 2023 | 600.83 Mn |
| Dec 31, 2022 | 659.07 Mn |
| Sep 30, 2022 | 631.48 Mn |
| Jun 30, 2022 | 619.15 Mn |
| Mar 31, 2022 | 612.50 Mn |
| Dec 31, 2021 | 615.85 Mn |
Tower Semiconductor Total Liabilities 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-liabilities&ticker=TSEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=TSEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();