ACM Research (ACMR) EBITDA (2016 - 2026)
ACM Research's EBITDA came in at $56.04 million for Q2 2026, up 60.0% from $35.03 million a year earlier and up 34.6% from the prior quarter.
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Analysis
ACM Research (ACMR) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, ACM Research reported EBITDA of $159.62 million, up 1.5% year-over-year; for FY2025, it was $125.76 million, down 21.9% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 41.0% (FY2020 to FY2025).
- Going back by year, EBITDA was $160.97 million in FY2024 (+54.9%), $103.93 million in FY2023 (+61.4%), $64.4 million in FY2022 (+56.9%) and $41.06 million in FY2021 (+82.1%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2016.
- Year-over-year, EBITDA increased in five of the last eight quarters, with growth averaging 18.2%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2022 (growth of 343.9%), and the weakest in Q4 2025 (a decline of 38.4%).
- Business Quant data shows ACMR's EBITDA at $41.64 million (Q1 2026), $28.9 million (Q4 2025) and $33.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 64.86 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 | 18.17 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 35.68 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 2.76 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 5.02 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.63 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 3.23 Bn |
| 10 | ACM Research | 5.39 Bn | 2.06 Bn | 134.62 Mn | 56.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.04 Mn |
| Mar 31, 2026 | 41.64 Mn |
| Dec 31, 2025 | 28.90 Mn |
| Sep 30, 2025 | 33.03 Mn |
| Jun 30, 2025 | 35.03 Mn |
| Mar 31, 2025 | 28.79 Mn |
| Dec 31, 2024 | 46.88 Mn |
| Sep 30, 2024 | 46.57 Mn |
| Jun 30, 2024 | 39.76 Mn |
| Mar 31, 2024 | 27.75 Mn |
| Dec 31, 2023 | 25.45 Mn |
| Sep 30, 2023 | 35.24 Mn |
| Jun 30, 2023 | 32.67 Mn |
| Mar 31, 2023 | 10.58 Mn |
| Dec 31, 2022 | 17.93 Mn |
| Sep 30, 2022 | 33.19 Mn |
| Jun 30, 2022 | 21.38 Mn |
| Mar 31, 2022 | -8.09 Mn |
| Dec 31, 2021 | 19.88 Mn |
| Sep 30, 2021 | 12.36 Mn |
API Access
ACM Research EBITDA 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=ebitda&ticker=ACMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();