ACM Research (ACMR) Change in Receivables (2016 - 2026)
ACM Research's Change in Receivables was -$3.95 million in Q2 2026, compared with $44.7 million a year earlier.
ACM Research (ACMR) Change in Receivables (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, ACM Research's Change in Receivables was $75.99 million through Jun 30, 2026, down 50.3% year-over-year; for FY2025, it was $116.13 million, down 5.8% from FY2024.
- Change in Receivables shows a five-year compound annual growth rate of 39.4% (FY2020 to FY2025).
- In earlier years, Change in Receivables was $123.28 million in FY2024 (+13.4%), $108.75 million in FY2023 (+22.7%), $88.66 million in FY2022 (+86.2%) and $47.62 million in FY2021 (+115.6%).
- The Q2 2026 figure marks the lowest quarterly Change in Receivables since Q4 2022.
- Compared with a year earlier, Change in Receivables was higher in two of the last four quarters, with an average decline of 0.8%.
- The best year-over-year quarter for Change in Receivables over five years was Q1 2023 (growth of 763.4%); the worst was Q1 2022 (a decline of 93.8%).
- Per Business Quant data, ACMR's Change in Receivables in the three quarters before Q2 2026 was $8.32 million (Q1 2026), $24.78 million (Q4 2025) and $46.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,921.46 Bn | 4,695.62 Bn | 72.14 Bn | 22.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,095.29 Bn | 1,720.15 Bn | 27.22 Bn | -2.47 Bn |
| 3 | Broadcom | 1,543.66 Bn | 1,469.70 Bn | 20.46 Bn | 2.86 Bn |
| 4 | Micron Technology | 988.36 Bn | 893.99 Bn | 47.05 Bn | 5.25 Bn |
| 5 | Advanced Micro Devices | 817.26 Bn | 774.00 Bn | 6.20 Bn | 1.25 Bn |
| 6 | Asml Holding | 606.18 Bn | 561.86 Bn | 5.90 Bn | - |
| 7 | Intel | 330.29 Bn | 330.29 Bn | 7.10 Bn | 60.00 Mn |
| 8 | Applied Materials | 307.60 Bn | 273.04 Bn | 4.59 Bn | 1.32 Bn |
| 9 | Lam Research | 297.52 Bn | 273.57 Bn | 4.30 Bn | - |
| 10 | ACM Research | 3.06 Bn | -809.79 Mn | 134.62 Mn | -3.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.95 Mn |
| Mar 31, 2026 | 8.32 Mn |
| Dec 31, 2025 | 24.78 Mn |
| Sep 30, 2025 | 46.84 Mn |
| Jun 30, 2025 | 44.70 Mn |
| Mar 31, 2025 | -190,000.00 |
| Dec 31, 2024 | 33.89 Mn |
| Sep 30, 2024 | 74.55 Mn |
| Jun 30, 2024 | -444,000.00 |
| Mar 31, 2024 | 15.29 Mn |
| Dec 31, 2023 | 32.51 Mn |
| Sep 30, 2023 | 47.61 Mn |
| Jun 30, 2023 | 26.18 Mn |
| Mar 31, 2023 | 2.45 Mn |
| Dec 31, 2022 | -8.19 Mn |
| Sep 30, 2022 | 40.92 Mn |
| Jun 30, 2022 | 55.64 Mn |
| Mar 31, 2022 | 284,000.00 |
| Dec 31, 2021 | 19.49 Mn |
| Sep 30, 2021 | 13.86 Mn |
ACM Research Change in 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=change-in-receivables&ticker=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();