ACM Research (ACMR) Change in Inventory (2016 - 2026)
ACM Research (ACMR) posted Change in Inventory of $40.34 million for Q2 2026, up 6.6% from $37.84 million a year earlier and up 36.5% from the prior quarter.
ACM Research (ACMR) Change in Inventory (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at ACM Research was $125.15 million, up 139.8% year-over-year; for FY2025, it came in at $108.22 million, up 68.7% from FY2024.
- Annual Change in Inventory shows a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In prior years, ACM Research's Change in Inventory was $64.14 million in FY2024 (-60.9%), $164.03 million in FY2023 (-16.1%), $195.56 million in FY2022 (+53.1%) and $127.73 million in FY2021 (+213.3%).
- The Q2 2026 figure stands as the highest quarterly Change in Inventory since Q1 2023.
- On a year-over-year basis, Change in Inventory increased in four of the last six quarters, with growth averaging 15.6%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q1 2022, with growth of 243.7%; the weakest was Q1 2025, with a decline of 60.8%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $29.55 million (Q1 2026), $27.53 million (Q4 2025) and $27.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 5.78 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | - |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 195.00 Mn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 300.00 Mn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 423.00 Mn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 66.00 Mn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 208.00 Mn |
| 10 | ACM Research | 4.92 Bn | 1.60 Bn | 134.62 Mn | 40.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.34 Mn |
| Mar 31, 2026 | 29.55 Mn |
| Dec 31, 2025 | 27.53 Mn |
| Sep 30, 2025 | 27.74 Mn |
| Jun 30, 2025 | 37.84 Mn |
| Mar 31, 2025 | 15.11 Mn |
| Dec 31, 2024 | -18.07 Mn |
| Sep 30, 2024 | 17.31 Mn |
| Jun 30, 2024 | 26.32 Mn |
| Mar 31, 2024 | 38.57 Mn |
| Dec 31, 2023 | 28.14 Mn |
| Sep 30, 2023 | 35.93 Mn |
| Jun 30, 2023 | 19.72 Mn |
| Mar 31, 2023 | 80.25 Mn |
| Dec 31, 2022 | 61.79 Mn |
| Sep 30, 2022 | 52.91 Mn |
| Jun 30, 2022 | 28.36 Mn |
| Mar 31, 2022 | 52.50 Mn |
| Dec 31, 2021 | 40.12 Mn |
| Sep 30, 2021 | 40.18 Mn |
ACM Research 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=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "ACMR", "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=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();