ACM Research (ACMR) Operating Leases (2019 - 2026)
ACM Research's Operating Leases came in at $3.5 million for Q2 2026, down 36.3% from $5.5 million a year earlier and down 15.1% from the prior quarter.
Analysis
ACM Research (ACMR) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, ACM Research's Operating Leases was $5.07 million, up 32.0% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- Going back by year, Operating Leases was $3.84 million in FY2024 (-9.9%), $4.26 million in FY2023 (+285.0%), $1.11 million in FY2022 (-40.8%) and $1.87 million in FY2021 (-35.1%).
- The Q2 2026 figure represents the lowest quarterly Operating Leases since Q3 2024.
- Year-over-year, Operating Leases increased in four of the last eight quarters, with growth averaging 14.7%.
- The fastest year-over-year change in Operating Leases over five years came in Q4 2023 (growth of 285.0%), and the weakest in Q4 2022 (a decline of 40.8%).
- Business Quant data shows ACMR's Operating Leases at $4.13 million (Q1 2026), $5.07 million (Q4 2025) and $5.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | ACM Research | 5.39 Bn | 2.06 Bn | 134.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.50 Mn |
| Mar 31, 2026 | 4.13 Mn |
| Dec 31, 2025 | 5.07 Mn |
| Sep 30, 2025 | 5.88 Mn |
| Jun 30, 2025 | 5.50 Mn |
| Mar 31, 2025 | 6.15 Mn |
| Dec 31, 2024 | 3.84 Mn |
| Sep 30, 2024 | 3.30 Mn |
| Jun 30, 2024 | 3.68 Mn |
| Mar 31, 2024 | 3.83 Mn |
| Dec 31, 2023 | 4.26 Mn |
| Sep 30, 2023 | 4.31 Mn |
| Jun 30, 2023 | 4.77 Mn |
| Mar 31, 2023 | 4.40 Mn |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 1.70 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 1.87 Mn |
| Sep 30, 2021 | 2.12 Mn |
API Access
ACM Research Operating Leases 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=operating-leases&ticker=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();