Magnachip Semiconductor (MX) Cash & Equivalents (2010 - 2026)
Magnachip Semiconductor's Cash & Equivalents came in at $87.94 million for Q2 2026, down 22.4% from $113.33 million a year earlier and down 7.0% from the prior quarter.
Magnachip Semiconductor (MX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Magnachip Semiconductor's Cash & Equivalents was $103.76 million, down 25.1% from FY2024.
- Cash & Equivalents has declined in each of the last five years, with a five-year compound annual growth rate of -18.0% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $138.61 million in FY2024 (-12.3%), $158.09 million in FY2023 (-29.9%), $225.48 million in FY2022 (-19.3%) and $279.55 million in FY2021 (-0.1%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q3 2016.
- Year-over-year, Cash & Equivalents has declined for 16 consecutive quarters, with an average decline of 20.5% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2022 (growth of 0.7%), and the weakest in Q3 2021 (a decline of 49.0%).
- Business Quant data shows MX's Cash & Equivalents at $94.55 million (Q1 2026), $103.76 million (Q4 2025) and $108.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,257.94 Bn | 5,032.10 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,182.39 Bn | 1,807.25 Bn | 27.22 Bn | 98.36 Bn |
| 3 | Broadcom | 1,596.71 Bn | 1,522.75 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,020.41 Bn | 926.05 Bn | 47.05 Bn | 38.36 Bn |
| 5 | Advanced Micro Devices | 879.62 Bn | 836.36 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 640.55 Bn | 596.23 Bn | 5.90 Bn | 15.17 Bn |
| 7 | Intel | 470.49 Bn | 339.62 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 342.11 Bn | 318.91 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 328.25 Bn | 293.69 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Magnachip Semiconductor | 94.05 Mn | -310.91 Mn | 8.65 Mn | 87.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.94 Mn |
| Mar 31, 2026 | 94.55 Mn |
| Dec 31, 2025 | 103.76 Mn |
| Sep 30, 2025 | 108.01 Mn |
| Jun 30, 2025 | 113.33 Mn |
| Mar 31, 2025 | 132.65 Mn |
| Dec 31, 2024 | 138.61 Mn |
| Sep 30, 2024 | 121.10 Mn |
| Jun 30, 2024 | 132.47 Mn |
| Mar 31, 2024 | 171.60 Mn |
| Dec 31, 2023 | 158.09 Mn |
| Sep 30, 2023 | 166.64 Mn |
| Jun 30, 2023 | 172.95 Mn |
| Mar 31, 2023 | 212.09 Mn |
| Dec 31, 2022 | 225.48 Mn |
| Sep 30, 2022 | 250.83 Mn |
| Jun 30, 2022 | 273.80 Mn |
| Mar 31, 2022 | 284.92 Mn |
| Dec 31, 2021 | 279.55 Mn |
| Sep 30, 2021 | 276.30 Mn |
Magnachip Semiconductor Cash & Equivalents 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=cash-and-equivalents&ticker=MX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();