ACM Research (ACMR) Receivables (2016 - 2026)
ACM Research's Receivables came in at $605.37 million for Q2 2026, up 26.6% from $478.05 million a year earlier and up 4.2% from the prior quarter.
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Analysis
ACM Research (ACMR) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025, ACM Research's Receivables was $555.41 million, up 29.2% from FY2024.
- Receivables has increased in each of the last nine years, with a five-year compound annual growth rate of 53.1% (FY2020 to FY2025).
- Going back by year, Receivables was $429.93 million in FY2024 (+32.0%), $325.68 million in FY2023 (+50.9%), $215.88 million in FY2022 (+73.3%) and $124.53 million in FY2021 (+88.3%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2016.
- Year-over-year, Receivables has increased for 28 consecutive quarters, with growth averaging 32.0% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 21.6% (Q1 2025) and 108.1% (Q2 2022) over the last five years.
- Business Quant data shows ACMR's Receivables at $580.97 million (Q1 2026), $555.41 million (Q4 2025) and $528.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 7.69 Bn |
| 10 | ACM Research | 5.39 Bn | 2.06 Bn | 134.62 Mn | 605.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 605.37 Mn |
| Mar 31, 2026 | 580.97 Mn |
| Dec 31, 2025 | 555.41 Mn |
| Sep 30, 2025 | 528.37 Mn |
| Jun 30, 2025 | 478.05 Mn |
| Mar 31, 2025 | 424.28 Mn |
| Dec 31, 2024 | 429.93 Mn |
| Sep 30, 2024 | 429.89 Mn |
| Jun 30, 2024 | 349.95 Mn |
| Mar 31, 2024 | 349.03 Mn |
| Dec 31, 2023 | 325.68 Mn |
| Sep 30, 2023 | 285.77 Mn |
| Jun 30, 2023 | 236.39 Mn |
| Mar 31, 2023 | 222.31 Mn |
| Dec 31, 2022 | 215.88 Mn |
| Sep 30, 2022 | 203.48 Mn |
| Jun 30, 2022 | 170.84 Mn |
| Mar 31, 2022 | 129.95 Mn |
| Dec 31, 2021 | 124.53 Mn |
| Sep 30, 2021 | 97.95 Mn |
API Access
ACM Research Receivables 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=receivables&ticker=ACMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();