ACM Research (ACMR) Long-Term Debt Repayments (2020 - 2026)
ACM Research (ACMR) recorded Long-Term Debt Repayments of $38.16 million in Q2 2026, up 158.0% from $14.79 million a year earlier and up 54.4% from the prior quarter.
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Analysis
ACM Research (ACMR) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a TTM basis, ACM Research's Long-Term Debt Repayments came in at $107.87 million as of Jun 30, 2026, up 398.8% year-over-year; for FY2025, it was $60.25 million, up 528.8% from FY2024.
- Annual Long-Term Debt Repayments has increased for three straight years, with a five-year compound annual growth rate of 101.4% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $9.58 million in FY2024 (+319.7%), $2.28 million in FY2023 (+2.7%) and $2.22 million in FY2022.
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments in data going back to Q2 2020.
- On a year-over-year basis, Long-Term Debt Repayments rose in six of the last seven quarters, with growth averaging 405.8%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 826.8% in Q4 2025, against a decline of 61.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.71 million (Q1 2026), $30.38 million (Q4 2025) and $14.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 4,921.46 Bn | 4,695.62 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,095.29 Bn | 1,720.15 Bn | 27.22 Bn | -8.28 Mn |
| 3 | Broadcom | 1,543.66 Bn | 1,469.70 Bn | 20.46 Bn | 5.63 Bn |
| 4 | Micron Technology | 988.36 Bn | 893.99 Bn | 47.05 Bn | 663.00 Mn |
| 5 | Advanced Micro Devices | 817.26 Bn | 774.00 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 606.18 Bn | 561.86 Bn | 5.90 Bn | - |
| 7 | Intel | 330.29 Bn | 330.29 Bn | 7.10 Bn | - |
| 8 | Applied Materials | 307.60 Bn | 273.04 Bn | 4.59 Bn | - |
| 9 | Lam Research | 297.52 Bn | 273.57 Bn | 4.30 Bn | 34.49 Mn |
| 10 | ACM Research | 3.06 Bn | -809.79 Mn | 134.62 Mn | 38.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.16 Mn |
| Mar 31, 2026 | 24.71 Mn |
| Dec 31, 2025 | 30.38 Mn |
| Sep 30, 2025 | 14.63 Mn |
| Jun 30, 2025 | 14.79 Mn |
| Mar 31, 2025 | 455,000.00 |
| Dec 31, 2024 | 3.28 Mn |
| Sep 30, 2024 | 3.10 Mn |
| Jun 30, 2024 | 2.01 Mn |
| Mar 31, 2024 | 1.19 Mn |
| Dec 31, 2023 | 513,000.00 |
| Sep 30, 2023 | 659,000.00 |
| Jun 30, 2023 | -585,000.00 |
| Mar 31, 2023 | 1.70 Mn |
| Jun 30, 2021 | -224,000.00 |
| Mar 31, 2021 | 224,000.00 |
| Jun 30, 2020 | 1.82 Mn |
API Access
ACM Research Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ACMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();