ACM Research (ACMR) Prepaid Assets (2016 - 2026)
ACM Research (ACMR) recorded Prepaid Assets of $25.55 million in Q2 2026, up 78.7% from $14.3 million a year earlier and up 91.4% from the prior quarter.
ACM Research (ACMR) Prepaid Assets (2016 - 2026) Analysis & Trends
At the end of FY2025, ACM Research reported Prepaid Assets of $10.57 million, up 40.8% from FY2024.
- Annual Prepaid Assets has a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Across earlier years, Prepaid Assets came in at $7.51 million in FY2024 (-62.5%), $20.02 million in FY2023 (+28.3%), $15.61 million in FY2022 (+9.5%) and $14.26 million in FY2021 (+142.0%).
- The Q2 2026 figure is the highest quarterly Prepaid Assets in data going back to Q4 2016.
- On a year-over-year basis, Prepaid Assets has increased for four consecutive quarters, with growth averaging 1.7% over the last eight quarters.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 267.9% in Q1 2022, against a decline of 62.5% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $13.35 million (Q1 2026), $10.57 million (Q4 2025) and $15.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 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 |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn |
| 10 | ACM Research | 4.92 Bn | 1.60 Bn | 134.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.55 Mn |
| Mar 31, 2026 | 13.35 Mn |
| Dec 31, 2025 | 10.57 Mn |
| Sep 30, 2025 | 15.14 Mn |
| Jun 30, 2025 | 14.30 Mn |
| Mar 31, 2025 | 10.68 Mn |
| Dec 31, 2024 | 7.51 Mn |
| Sep 30, 2024 | 10.79 Mn |
| Jun 30, 2024 | 18.59 Mn |
| Mar 31, 2024 | 20.07 Mn |
| Dec 31, 2023 | 20.02 Mn |
| Sep 30, 2023 | 17.54 Mn |
| Jun 30, 2023 | 18.97 Mn |
| Mar 31, 2023 | 19.32 Mn |
| Dec 31, 2022 | 15.61 Mn |
| Sep 30, 2022 | 17.77 Mn |
| Jun 30, 2022 | 18.85 Mn |
| Mar 31, 2022 | 21.77 Mn |
| Dec 31, 2021 | 14.26 Mn |
| Sep 30, 2021 | 7.53 Mn |
ACM Research Prepaid 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=prepaid-assets&ticker=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();