ACM Research (ACMR) Total Non-Current Liabilities (2016 - 2026)
ACM Research's Total Non-Current Liabilities was $982.67 million in Q2 2026, up 17.1% from $839.5 million a year earlier and up 1.2% from the prior quarter.
ACM Research (ACMR) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at ACM Research came in at $929.71 million, up 23.9% from FY2024.
- Total Non-Current Liabilities has now increased for eight consecutive years, with a five-year compound annual growth rate of 49.4% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $750.6 million in FY2024 (+34.3%), $558.87 million in FY2023 (+34.3%), $416.01 million in FY2022 (+79.3%) and $232.07 million in FY2021 (+85.6%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2016.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 25 straight quarters, with growth averaging 27.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 17.1% (Q2 2026) to 122.9% (Q3 2021).
- Per Business Quant data, ACMR's Total Non-Current Liabilities in the three quarters before Q2 2026 was $970.66 million (Q1 2026), $929.71 million (Q4 2025) and $877.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 16.48 Bn |
| 10 | ACM Research | 4.92 Bn | 1.60 Bn | 134.62 Mn | 982.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 982.67 Mn |
| Mar 31, 2026 | 970.66 Mn |
| Dec 31, 2025 | 929.71 Mn |
| Sep 30, 2025 | 877.11 Mn |
| Jun 30, 2025 | 839.50 Mn |
| Mar 31, 2025 | 769.57 Mn |
| Dec 31, 2024 | 750.60 Mn |
| Sep 30, 2024 | 719.41 Mn |
| Jun 30, 2024 | 660.68 Mn |
| Mar 31, 2024 | 590.49 Mn |
| Dec 31, 2023 | 558.87 Mn |
| Sep 30, 2023 | 526.01 Mn |
| Jun 30, 2023 | 478.57 Mn |
| Mar 31, 2023 | 474.46 Mn |
| Dec 31, 2022 | 416.01 Mn |
| Sep 30, 2022 | 366.91 Mn |
| Jun 30, 2022 | 276.32 Mn |
| Mar 31, 2022 | 270.05 Mn |
| Dec 31, 2021 | 232.07 Mn |
| Sep 30, 2021 | 221.70 Mn |
ACM Research Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();