Silicon Motion Technology (SIMO) Cash & Equivalents (2009 - 2026)
Silicon Motion Technology's Cash & Equivalents was $74.37 million in Q2 2026, down 77.8% from $334.33 million a year earlier and down 45.2% from the prior quarter.
Silicon Motion Technology (SIMO) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Silicon Motion Technology came in at $201.84 million, down 26.9% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $276.07 million in FY2024 (-12.2%), $314.3 million in FY2023 (+35.4%), $232.18 million in FY2022 (-35.5%) and $360.08 million in FY2021 (+5.0%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q3 2011.
- Compared with a year earlier, Cash & Equivalents has declined for four straight quarters, with an average decline of 27.9% over the last seven quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2023 (growth of 35.4%); the worst was Q2 2026 (a decline of 77.8%).
- Per Business Quant data, SIMO's Cash & Equivalents in the three quarters before Q2 2026 was $135.68 million (Q1 2026), $201.84 million (Q4 2025) and $198.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Silicon Motion Technology | 9.41 Bn | 8.80 Bn | - | 74.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.37 Mn |
| Mar 31, 2026 | 135.68 Mn |
| Dec 31, 2025 | 201.84 Mn |
| Sep 30, 2025 | 198.58 Mn |
| Jun 30, 2025 | 334.33 Mn |
| Mar 31, 2025 | 275.14 Mn |
| Dec 31, 2024 | 276.07 Mn |
| Sep 30, 2024 | 313.92 Mn |
| Jun 30, 2024 | 289.18 Mn |
| Mar 31, 2024 | 294.81 Mn |
| Dec 31, 2023 | 314.30 Mn |
| Sep 30, 2023 | 295.39 Mn |
| Jun 30, 2023 | 249.83 Mn |
| Mar 31, 2023 | 225.38 Mn |
| Dec 31, 2022 | 232.18 Mn |
| Sep 30, 2022 | 199.22 Mn |
| Jun 30, 2022 | 179.86 Mn |
| Mar 31, 2022 | 226.40 Mn |
| Dec 31, 2021 | 360.08 Mn |
| Sep 30, 2021 | 364.07 Mn |
Silicon Motion Technology Cash & Equivalents 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=cash-and-equivalents&ticker=SIMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SIMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();