ACM Research (ACMR) Other Accumulated Expenses (2016 - 2026)
ACM Research (ACMR) recorded Other Accumulated Expenses of $168.94 million in Q2 2026, up 33.3% from $126.79 million a year earlier and up 5.5% from the prior quarter.
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Analysis
ACM Research (ACMR) Other Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, ACM Research reported Other Accumulated Expenses of $150.4 million, up 23.6% from FY2024.
- Annual Other Accumulated Expenses has increased for nine straight years, with a five-year compound annual growth rate of 51.6% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $121.66 million in FY2024 (+18.2%), $102.95 million in FY2023 (+97.2%), $52.2 million in FY2022 (+64.5%) and $31.74 million in FY2021 (+68.8%).
- The Q2 2026 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2016.
- On a year-over-year basis, Other Accumulated Expenses has increased for 25 consecutive quarters, with growth averaging 23.9% over the last eight quarters.
- The year-over-year growth in Other Accumulated Expenses has ranged between 10.3% (Q2 2025) and 102.2% (Q1 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at $160.08 million (Q1 2026), $150.4 million (Q4 2025) and $135.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 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 |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | ACM Research | 5.39 Bn | 2.06 Bn | 134.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.94 Mn |
| Mar 31, 2026 | 160.08 Mn |
| Dec 31, 2025 | 150.40 Mn |
| Sep 30, 2025 | 135.03 Mn |
| Jun 30, 2025 | 126.79 Mn |
| Mar 31, 2025 | 118.81 Mn |
| Dec 31, 2024 | 121.66 Mn |
| Sep 30, 2024 | 115.39 Mn |
| Jun 30, 2024 | 114.94 Mn |
| Mar 31, 2024 | 107.10 Mn |
| Dec 31, 2023 | 102.95 Mn |
| Sep 30, 2023 | 80.40 Mn |
| Jun 30, 2023 | 60.00 Mn |
| Mar 31, 2023 | 52.97 Mn |
| Dec 31, 2022 | 52.20 Mn |
| Sep 30, 2022 | 40.28 Mn |
| Jun 30, 2022 | 39.20 Mn |
| Mar 31, 2022 | 36.56 Mn |
| Dec 31, 2021 | 31.74 Mn |
| Sep 30, 2021 | 25.95 Mn |
API Access
ACM Research Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ACMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();