ACM Research (ACMR) Interest Expenses (2016 - 2026)
ACM Research (ACMR) reported Interest Expenses of $2.06 million for Q2 2026, up 17.2% from $1.76 million a year earlier and up 6.5% from the prior quarter.
ACM Research (ACMR) Interest Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, ACM Research's Interest Expenses came in at $7.63 million, up 32.7% year-over-year; for FY2025, it was $6.96 million, up 67.5% from FY2024.
- Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 47.9% (FY2020 to FY2025).
- By year, Interest Expenses came in at $4.15 million in FY2024 (+54.8%), $2.68 million in FY2023 (+62.0%), $1.66 million in FY2022 (+116.3%) and $765,000 in FY2021 (-22.1%).
- The Q2 2026 figure ranks as the highest quarterly Interest Expenses in data going back to Q3 2016.
- Year over year, Interest Expenses has now increased in each of the last 18 quarters, with growth averaging 61.6% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q4 2022 (growth of 250.3%); the low point was Q4 2021 (a decline of 48.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.93 million (Q1 2026), $1.79 million (Q4 2025) and $1.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn | -97.61 Mn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn | 778.00 Mn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn | - |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn | 37.00 Mn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn | - |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn | - |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn | - |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn | 68.00 Mn |
| 10 | ACM Research | 4.92 Bn | 1.60 Bn | 134.62 Mn | 2.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.06 Mn |
| Mar 31, 2026 | 1.93 Mn |
| Dec 31, 2025 | 1.79 Mn |
| Sep 30, 2025 | 1.85 Mn |
| Jun 30, 2025 | 1.76 Mn |
| Mar 31, 2025 | 1.56 Mn |
| Dec 31, 2024 | 1.23 Mn |
| Sep 30, 2024 | 1.21 Mn |
| Jun 30, 2024 | 932,000.00 |
| Mar 31, 2024 | 783,000.00 |
| Dec 31, 2023 | 697,000.00 |
| Sep 30, 2023 | 640,000.00 |
| Jun 30, 2023 | 649,000.00 |
| Mar 31, 2023 | 695,000.00 |
| Dec 31, 2022 | 669,000.00 |
| Sep 30, 2022 | 419,000.00 |
| Jun 30, 2022 | 306,000.00 |
| Mar 31, 2022 | 261,000.00 |
| Dec 31, 2021 | 191,000.00 |
| Sep 30, 2021 | 191,000.00 |
ACM Research Interest Expenses 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=interest-expenses&ticker=ACMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=ACMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();