ACM Research (ACMR) Retained Earnings (2016 - 2026)
ACM Research's Retained Earnings came in at $456.72 million for Q2 2026, up 47.3% from $310.14 million a year earlier and up 24.2% from the prior quarter.
ACM Research (ACMR) Retained Earnings (2016 - 2026) Analysis & Trends
At the end of FY2025, ACM Research's Retained Earnings was $350.43 million, up 34.8% from FY2024.
- Retained Earnings has increased in each of the last six years, with a five-year compound annual growth rate of 59.2% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $260 million in FY2024 (+65.8%), $156.83 million in FY2023 (+66.1%), $94.43 million in FY2022 (+48.2%) and $63.73 million in FY2021 (+85.9%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2016.
- Year-over-year, Retained Earnings has increased for 25 consecutive quarters, with growth averaging 49.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 31.2% in Q1 2026 to 119.3% in Q3 2021.
- Business Quant data shows ACMR's Retained Earnings at $367.74 million (Q1 2026), $350.43 million (Q4 2025) and $346.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 296.63 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 94.68 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 20.47 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 34.95 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 61.39 Bn |
| 10 | ACM Research | 4.92 Bn | 1.60 Bn | 134.62 Mn | 456.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 456.72 Mn |
| Mar 31, 2026 | 367.74 Mn |
| Dec 31, 2025 | 350.43 Mn |
| Sep 30, 2025 | 346.03 Mn |
| Jun 30, 2025 | 310.14 Mn |
| Mar 31, 2025 | 280.38 Mn |
| Dec 31, 2024 | 260.00 Mn |
| Sep 30, 2024 | 229.37 Mn |
| Jun 30, 2024 | 198.47 Mn |
| Mar 31, 2024 | 174.26 Mn |
| Dec 31, 2023 | 156.83 Mn |
| Sep 30, 2023 | 152.31 Mn |
| Jun 30, 2023 | 124.28 Mn |
| Mar 31, 2023 | 101.41 Mn |
| Dec 31, 2022 | 94.43 Mn |
| Sep 30, 2022 | 91.19 Mn |
| Jun 30, 2022 | 70.18 Mn |
| Mar 31, 2022 | 66.26 Mn |
| Dec 31, 2021 | 63.73 Mn |
| Sep 30, 2021 | 56.48 Mn |
ACM Research Retained Earnings 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=retained-earnings&ticker=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();