Silicon Motion Technology (SIMO) Total Liabilities (2009 - 2026)
Silicon Motion Technology (SIMO) posted Total Liabilities of $558.38 million for Q2 2026, up 128.1% from $244.82 million a year earlier and up 39.3% from the prior quarter.
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 Q2 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 four quarters, with growth averaging 37.8% over the last seven quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 128.1%; the weakest was Q1 2023, with a decline of 35.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $400.89 million (Q1 2026), $391.98 million (Q4 2025) and $303.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 93.12 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 33.39 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 36.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Silicon Motion Technology | 9.41 Bn | 8.80 Bn | - | 558.38 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 214.35 Mn |
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_KEY
import 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();