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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,262.90 Bn | 5,037.06 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,260.25 Bn | 1,885.11 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,620.26 Bn | 1,546.31 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,041.35 Bn | 946.99 Bn | 47.05 Bn | 131.85 Bn |
| 5 | Advanced Micro Devices | 907.88 Bn | 864.63 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 633.92 Bn | 589.61 Bn | 5.90 Bn | 20.66 Bn |
| 7 | Intel | 475.34 Bn | 344.47 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Applied Materials | 312.51 Bn | 277.95 Bn | 4.59 Bn | 61.39 Bn |
| 9 | Lam Research | 298.79 Bn | 274.84 Bn | 4.30 Bn | 37.29 Bn |
| 10 | ACM Research | 3.51 Bn | -363.07 Mn | 134.62 Mn | 456.72 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();