ACM Research (ACMR) EV to EBITDA (2017 - 2026)
ACM Research's EV to EBITDA was 48.08 in Q2 2026, up 493.5% from 8.10 a year earlier and up 232.5% from the prior quarter.
ACM Research (ACMR) EV to EBITDA (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, ACM Research's EV to EBITDA was 30.55 through Jun 30, 2026; for FY2025, it was 16.41, up 313.1% from FY2024.
- In earlier years, EV to EBITDA was 3.97 in FY2024 (-60.7%), 10.11 in FY2023 (+124.0%), 4.51 in FY2022 (-82.6%) and 25.99 in FY2021 (-56.3%).
- The Q2 2026 figure marks the highest quarterly EV to EBITDA since Q3 2021.
- Compared with a year earlier, EV to EBITDA has increased for four straight quarters, with growth averaging 105.0% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2026 (growth of 493.5%); the worst was Q3 2022 (a decline of 90.4%).
- Per Business Quant data, ACMR's EV to EBITDA in the three quarters before Q2 2026 was 14.46 (Q1 2026), 16.41 (Q4 2025) and 11.80 (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 | 48.08 |
| Mar 31, 2026 | 14.46 |
| Dec 31, 2025 | 16.41 |
| Sep 30, 2025 | 11.80 |
| Jun 30, 2025 | 8.10 |
| Mar 31, 2025 | 6.81 |
| Dec 31, 2024 | 3.97 |
| Sep 30, 2024 | 7.14 |
| Jun 30, 2024 | 8.97 |
| Mar 31, 2024 | 13.17 |
| Dec 31, 2023 | 10.11 |
| Sep 30, 2023 | 9.60 |
| Jun 30, 2023 | 6.32 |
| Mar 31, 2023 | 6.13 |
| Dec 31, 2022 | 4.51 |
| Sep 30, 2022 | 6.90 |
| Jun 30, 2022 | 15.27 |
| Mar 31, 2022 | 29.23 |
| Dec 31, 2021 | 25.99 |
| Sep 30, 2021 | 71.89 |
ACM Research EV to 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=ev-to-ebitda&ticker=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();