ACM Research (ACMR) Non-Current Assets (2016 - 2026)
ACM Research (ACMR) posted Non-Current Assets of $524.46 million for Q2 2026, up 33.1% from $394.06 million a year earlier and up 17.4% from the prior quarter.
ACM Research (ACMR) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, ACM Research's Non-Current Assets came in at $435.51 million, up 17.0% from FY2024.
- Annual Non-Current Assets has increased for nine consecutive years, with a five-year compound annual growth rate of 40.1% (FY2020 to FY2025).
- In prior years, ACM Research's Non-Current Assets was $372.34 million in FY2024 (+18.3%), $314.8 million in FY2023 (+15.9%), $271.69 million in FY2022 (+173.8%) and $99.25 million in FY2021 (+23.1%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q4 2016.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 25 quarters, with growth averaging 20.0% over the last eight quarters.
- The year-over-year growth in Non-Current Assets has ranged between 1.4% (Q2 2024) and 173.8% (Q4 2022) over the last five years.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $446.55 million (Q1 2026), $435.51 million (Q4 2025) and $412.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 122.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 152.18 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 135.98 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 67.38 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 52.94 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 23.22 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 145.23 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 7.92 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 18.43 Bn |
| 10 | ACM Research | 5.39 Bn | 2.06 Bn | 134.62 Mn | 524.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 524.46 Mn |
| Mar 31, 2026 | 446.55 Mn |
| Dec 31, 2025 | 435.51 Mn |
| Sep 30, 2025 | 412.48 Mn |
| Jun 30, 2025 | 394.06 Mn |
| Mar 31, 2025 | 385.89 Mn |
| Dec 31, 2024 | 372.34 Mn |
| Sep 30, 2024 | 348.86 Mn |
| Jun 30, 2024 | 324.41 Mn |
| Mar 31, 2024 | 327.39 Mn |
| Dec 31, 2023 | 314.80 Mn |
| Sep 30, 2023 | 294.35 Mn |
| Jun 30, 2023 | 320.08 Mn |
| Mar 31, 2023 | 318.94 Mn |
| Dec 31, 2022 | 271.69 Mn |
| Sep 30, 2022 | 176.42 Mn |
| Jun 30, 2022 | 170.90 Mn |
| Mar 31, 2022 | 182.40 Mn |
| Dec 31, 2021 | 99.25 Mn |
| Sep 30, 2021 | 92.16 Mn |
ACM Research Non-Current Assets 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=non-current-assets&ticker=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();