Silicon Motion Technology (SIMO) Inventory (2009 - 2026)
Silicon Motion Technology (SIMO) recorded Inventory of $673.04 million in Q2 2026, up 223.6% from $208.01 million a year earlier and up 30.6% from the prior quarter.
Silicon Motion Technology (SIMO) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Silicon Motion Technology reported Inventory of $421.8 million, up 111.7% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 30.8% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $199.23 million in FY2024 (-8.2%), $216.95 million in FY2023 (-24.7%), $287.96 million in FY2022 (+76.6%) and $163.1 million in FY2021 (+48.1%).
- The Q2 2026 figure is the highest quarterly Inventory in data going back to Q1 2009.
- On a year-over-year basis, Inventory has increased for four consecutive quarters, with growth averaging 75.3% over the last seven quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 223.6% in Q2 2026, against a decline of 28.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $515.25 million (Q1 2026), $421.8 million (Q4 2025) and $337.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 31.58 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.20 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 4.52 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 8.57 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 8.47 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 13.30 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 12.49 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 4.28 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 6.56 Bn |
| 10 | Silicon Motion Technology | 9.41 Bn | 8.80 Bn | - | 673.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 673.04 Mn |
| Mar 31, 2026 | 515.25 Mn |
| Dec 31, 2025 | 421.80 Mn |
| Sep 30, 2025 | 337.97 Mn |
| Jun 30, 2025 | 208.01 Mn |
| Mar 31, 2025 | 180.90 Mn |
| Dec 31, 2024 | 199.23 Mn |
| Sep 30, 2024 | 214.57 Mn |
| Jun 30, 2024 | 240.81 Mn |
| Mar 31, 2024 | 253.32 Mn |
| Dec 31, 2023 | 216.95 Mn |
| Sep 30, 2023 | 199.00 Mn |
| Jun 30, 2023 | 250.52 Mn |
| Mar 31, 2023 | 307.66 Mn |
| Dec 31, 2022 | 287.96 Mn |
| Sep 30, 2022 | 305.57 Mn |
| Jun 30, 2022 | 265.52 Mn |
| Mar 31, 2022 | 218.76 Mn |
| Dec 31, 2021 | 163.10 Mn |
| Sep 30, 2021 | 161.01 Mn |
Silicon Motion Technology Inventory 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=inventory&ticker=SIMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SIMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();