STMicroelectronics (STM) Total Liabilities (2009 - 2026)
STMicroelectronics (STM) recorded Total Liabilities of $8.38 billion in Q3 2026, up 27.3% from $6.59 billion a year earlier and up 1.4% from the prior quarter.
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Analysis
STMicroelectronics (STM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, STMicroelectronics reported Total Liabilities of $6.58 billion, down 6.9% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $7.06 billion in FY2024 (-7.1%), $7.6 billion in FY2023 (+5.2%), $7.22 billion in FY2022 (+15.3%) and $6.27 billion in FY2021 (+5.4%).
- The Q3 2026 figure is the highest quarterly Total Liabilities in data going back to Q1 2009.
- On a year-over-year basis, Total Liabilities rose in two of the last eight quarters, with an average decline of 0.6%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 27.3% in Q3 2026, against a decline of 14.6% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.27 billion (Q2 2026), $6.96 billion (Q1 2026) and $6.58 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 55.89 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 95.92 Bn |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 91.29 Bn |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 88.46 Bn |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 57.51 Bn |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 26.42 Bn |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | 36.36 Bn |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 97.02 Bn |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | 19.29 Bn |
| 10 | STMicroelectronics | 41.54 Bn | 27.26 Bn | 1.40 Bn | 8.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 8.38 Bn |
| Jun 27, 2026 | 8.27 Bn |
| Mar 28, 2026 | 6.96 Bn |
| Dec 31, 2025 | 6.58 Bn |
| Sep 27, 2025 | 6.59 Bn |
| Jun 28, 2025 | 7.48 Bn |
| Mar 29, 2025 | 6.96 Bn |
| Dec 31, 2024 | 7.06 Bn |
| Sep 28, 2024 | 7.71 Bn |
| Jun 29, 2024 | 7.76 Bn |
| Mar 30, 2024 | 7.77 Bn |
| Dec 31, 2023 | 7.60 Bn |
| Sep 30, 2023 | 7.06 Bn |
| Jul 1, 2023 | 7.33 Bn |
| Apr 1, 2023 | 7.34 Bn |
| Dec 31, 2022 | 7.22 Bn |
| Oct 1, 2022 | 7.30 Bn |
| Jul 2, 2022 | 7.05 Bn |
| Apr 2, 2022 | 6.40 Bn |
| Dec 31, 2021 | 6.27 Bn |
API Access
STMicroelectronics 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=STM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "STM", "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=STM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();