Silicon Motion Technology (SIMO) Total Liabilities (2009 - 2026)
Silicon Motion Technology (SIMO) posted Total Liabilities of $1.62 billion for Q3 2026, up 435.4% from $303.22 million a year earlier and up 190.8% from the prior quarter.
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Analysis
Silicon Motion Technology (SIMO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Silicon Motion Technology's Total Liabilities came in at $391.98 million, up 51.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In prior years, Silicon Motion Technology's Total Liabilities was $259.05 million in FY2024 (-5.2%), $273.27 million in FY2023 (+19.5%), $228.65 million in FY2022 (-27.1%) and $313.7 million in FY2021 (+70.2%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q1 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 87.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2026, with growth of 435.4%; the weakest was Q1 2023, with a decline of 35.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $558.38 million (Q2 2026), $400.89 million (Q1 2026) and $391.98 million (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 | Silicon Motion Technology | 5.69 Bn | 4.43 Bn | 300.42 Mn | 1.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.62 Bn |
| Jun 30, 2026 | 558.38 Mn |
| Mar 31, 2026 | 400.89 Mn |
| Dec 31, 2025 | 391.98 Mn |
| Sep 30, 2025 | 303.22 Mn |
| Jun 30, 2025 | 244.82 Mn |
| Mar 31, 2025 | 219.08 Mn |
| Dec 31, 2024 | 259.05 Mn |
| Sep 30, 2024 | 239.15 Mn |
| Jun 30, 2024 | 245.64 Mn |
| Mar 31, 2024 | 270.82 Mn |
| Dec 31, 2023 | 273.27 Mn |
| Sep 30, 2023 | 192.87 Mn |
| Jun 30, 2023 | 187.13 Mn |
| Mar 31, 2023 | 179.93 Mn |
| Dec 31, 2022 | 228.65 Mn |
| Sep 30, 2022 | 267.13 Mn |
| Jun 30, 2022 | 292.11 Mn |
| Mar 31, 2022 | 278.76 Mn |
| Dec 31, 2021 | 313.70 Mn |
API Access
Silicon Motion Technology 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=SIMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "SIMO", "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=SIMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();