ACM Research (ACMR) Cash & Equivalents (2016 - 2026)
ACM Research (ACMR) recorded Cash & Equivalents of $969.23 million in Q2 2026, up 119.2% from $442.09 million a year earlier and up 11.1% from the prior quarter.
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Analysis
ACM Research (ACMR) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, ACM Research reported Cash & Equivalents of $757.37 million, up 85.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 60.2% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $407.45 million in FY2024 (+123.8%), $182.09 million in FY2023 (-26.6%), $247.95 million in FY2022 (-55.9%) and $562.55 million in FY2021 (+683.9%).
- Quarterly Cash & Equivalents has ranged from $64.52 million in Q3 2021 to $1.06 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for nine consecutive quarters, with growth averaging 106.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 683.9% in Q4 2021, against a decline of 55.9% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $872.27 million (Q1 2026), $757.37 million (Q4 2025) and $1.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,516.52 Bn | 4,290.68 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 1,945.01 Bn | 1,569.87 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,397.97 Bn | 1,324.02 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 778.23 Bn | 683.86 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 731.93 Bn | 680.14 Bn | 7.21 Bn | 7.40 Bn |
| 6 | Asml Holding | 553.38 Bn | 509.07 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 294.27 Bn | 140.33 Bn | 7.10 Bn | 21.85 Bn |
| 8 | Applied Materials | 264.14 Bn | 229.58 Bn | 4.59 Bn | 7.04 Bn |
| 9 | Texas Instruments | 253.31 Bn | 228.18 Bn | 3.89 Bn | 4.21 Bn |
| 10 | ACM Research | 3.04 Bn | -833.22 Mn | 134.62 Mn | 969.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 969.23 Mn |
| Mar 31, 2026 | 872.27 Mn |
| Dec 31, 2025 | 757.37 Mn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 442.09 Mn |
| Mar 31, 2025 | 457.24 Mn |
| Dec 31, 2024 | 407.45 Mn |
| Sep 30, 2024 | 333.47 Mn |
| Jun 30, 2024 | 324.03 Mn |
| Mar 31, 2024 | 211.31 Mn |
| Dec 31, 2023 | 182.09 Mn |
| Sep 30, 2023 | 207.10 Mn |
| Jun 30, 2023 | 257.42 Mn |
| Mar 31, 2023 | 260.39 Mn |
| Dec 31, 2022 | 247.95 Mn |
| Sep 30, 2022 | 336.28 Mn |
| Jun 30, 2022 | 324.34 Mn |
| Mar 31, 2022 | 379.79 Mn |
| Dec 31, 2021 | 562.55 Mn |
| Sep 30, 2021 | 64.52 Mn |
API Access
ACM Research Cash & Equivalents 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=cash-and-equivalents&ticker=ACMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();