Magnachip Semiconductor (MX) Other Accumulated Expenses (2010 - 2026)
Magnachip Semiconductor (MX) recorded Other Accumulated Expenses of $6.04 million in Q2 2026, up 307.6% from $1.48 million a year earlier but down 3.5% from the prior quarter.
Magnachip Semiconductor (MX) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Magnachip Semiconductor reported Other Accumulated Expenses of $2.68 million, down 28.8% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of -10.2% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $3.77 million in FY2024 (+14.6%), $3.29 million in FY2023 (-38.1%), $5.31 million in FY2022 (-28.1%) and $7.38 million in FY2021 (+60.7%).
- Quarterly Other Accumulated Expenses has ranged from $1.48 million in Q2 2025 to $15.88 million in Q3 2022 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in three of the last eight quarters, with growth averaging 40.4%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 307.6% in Q2 2026, against a decline of 71.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.26 million (Q1 2026), $2.68 million (Q4 2025) and $2.31 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,369.70 Bn | 5,143.86 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,240.62 Bn | 1,865.48 Bn | 27.22 Bn |
| 3 | Broadcom | 1,610.24 Bn | 1,536.29 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,032.70 Bn | 938.34 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 903.31 Bn | 860.06 Bn | 6.20 Bn |
| 6 | Asml Holding | 651.41 Bn | 607.10 Bn | 5.90 Bn |
| 7 | Intel | 474.60 Bn | 343.73 Bn | 6.51 Bn |
| 8 | Lam Research | 327.65 Bn | 304.45 Bn | 3.48 Bn |
| 9 | Applied Materials | 324.38 Bn | 289.82 Bn | 4.59 Bn |
| 10 | Magnachip Semiconductor | 94.60 Mn | -310.36 Mn | 8.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.04 Mn |
| Mar 31, 2026 | 6.26 Mn |
| Dec 31, 2025 | 2.68 Mn |
| Sep 30, 2025 | 2.31 Mn |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | 2.24 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 3.01 Mn |
| Jun 30, 2024 | 4.17 Mn |
| Mar 31, 2024 | 3.16 Mn |
| Dec 31, 2023 | 3.29 Mn |
| Sep 30, 2023 | 4.50 Mn |
| Jun 30, 2023 | 4.51 Mn |
| Mar 31, 2023 | 5.26 Mn |
| Dec 31, 2022 | 5.31 Mn |
| Sep 30, 2022 | 15.88 Mn |
| Jun 30, 2022 | 8.56 Mn |
| Mar 31, 2022 | 6.99 Mn |
| Dec 31, 2021 | 7.38 Mn |
| Sep 30, 2021 | 7.80 Mn |
Magnachip Semiconductor Other Accumulated 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=other-accumulated-expenses&ticker=MX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "MX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=MX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();