Magnachip Semiconductor (MX) Receivables (2010 - 2026)
Magnachip Semiconductor's Receivables came in at $27.88 million for Q2 2026, down 24.9% from $37.11 million a year earlier and down 1.7% from the prior quarter.
Magnachip Semiconductor (MX) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Magnachip Semiconductor's Receivables was $28.9 million, down 12.0% from FY2024.
- Receivables has declined in each of the last four years, with a five-year compound annual growth rate of -15.9% (FY2020 to FY2025).
- Going back by year, Receivables was $32.85 million in FY2024 (-11.1%), $36.94 million in FY2023 (-14.6%), $43.23 million in FY2022 (-43.8%) and $76.85 million in FY2021 (+11.8%).
- The Q2 2026 figure represents the lowest quarterly Receivables in data going back to Q4 2010.
- Year-over-year, Receivables has declined for three consecutive quarters, with an average decline of 10.1% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q1 2022 (growth of 33.6%), and the weakest in Q1 2023 (a decline of 51.5%).
- Business Quant data shows MX's Receivables at $28.38 million (Q1 2026), $28.9 million (Q4 2025) and $35.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | 13.84 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 36.65 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | 4.07 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Magnachip Semiconductor | 93.87 Mn | -311.09 Mn | 8.65 Mn | 27.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.88 Mn |
| Mar 31, 2026 | 28.38 Mn |
| Dec 31, 2025 | 28.90 Mn |
| Sep 30, 2025 | 35.59 Mn |
| Jun 30, 2025 | 37.11 Mn |
| Mar 31, 2025 | 33.50 Mn |
| Dec 31, 2024 | 32.85 Mn |
| Sep 30, 2024 | 33.99 Mn |
| Jun 30, 2024 | 35.15 Mn |
| Mar 31, 2024 | 35.33 Mn |
| Dec 31, 2023 | 36.94 Mn |
| Sep 30, 2023 | 43.92 Mn |
| Jun 30, 2023 | 38.51 Mn |
| Mar 31, 2023 | 37.49 Mn |
| Dec 31, 2022 | 43.23 Mn |
| Sep 30, 2022 | 45.01 Mn |
| Jun 30, 2022 | 73.91 Mn |
| Mar 31, 2022 | 77.33 Mn |
| Dec 31, 2021 | 76.85 Mn |
| Sep 30, 2021 | 61.49 Mn |
Magnachip Semiconductor Receivables 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=receivables&ticker=MX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();