Sitime (SITM) Change in Inventory (2019 - 2026)
Sitime (SITM) posted Change in Inventory of $14.5 million for Q2 2026, up 314.3% from $3.5 million a year earlier and up 38.0% from the prior quarter.
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Analysis
Sitime (SITM) Change in Inventory (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Sitime was $26.54 million, up 44.2% year-over-year; for FY2025, it came in at $12 million, down 16.4% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 42.1% (FY2020 to FY2025).
- In prior years, Sitime's Change in Inventory was $14.34 million in FY2024 (+45.1%), $9.89 million in FY2023 (-73.3%), $36.99 million in FY2022 (+182.5%) and $13.1 million in FY2021 (+532.7%).
- The Q2 2026 figure stands as the highest quarterly Change in Inventory since Q4 2022.
- On a year-over-year basis, Change in Inventory increased in five of the last six quarters, with growth averaging 160.0%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q3 2022, with growth of 864.2%; the weakest was Q3 2023, with a decline of 92.8%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $10.5 million (Q1 2026), -$2.31 million (Q4 2025) and $3.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 5.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 195.00 Mn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 300.00 Mn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 208.00 Mn |
| 10 | Sitime | 18.81 Bn | 14.48 Bn | 99.14 Mn | 14.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.50 Mn |
| Mar 31, 2026 | 10.50 Mn |
| Dec 31, 2025 | -2.31 Mn |
| Sep 30, 2025 | 3.85 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | 6.95 Mn |
| Dec 31, 2024 | 5.59 Mn |
| Sep 30, 2024 | 2.36 Mn |
| Jun 30, 2024 | -2.79 Mn |
| Mar 31, 2024 | 9.18 Mn |
| Dec 31, 2023 | 1.22 Mn |
| Sep 30, 2023 | 796,000.00 |
| Jun 30, 2023 | 4.74 Mn |
| Mar 31, 2023 | 3.13 Mn |
| Dec 31, 2022 | 15.24 Mn |
| Sep 30, 2022 | 11.00 Mn |
| Jun 30, 2022 | 3.63 Mn |
| Mar 31, 2022 | 7.12 Mn |
| Dec 31, 2021 | 5.81 Mn |
| Sep 30, 2021 | 1.14 Mn |
API Access
Sitime Change in 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=change-in-inventory&ticker=SITM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "SITM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=SITM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();