Maxlinear (MXL) Return on Capital Employed [ROCE] (2010 - 2026)
Maxlinear's Return on Capital Employed [ROCE] came in at -0.87% for Q3 2026, up 22.60 percentage points from -23.48% a year earlier and up 11.46 percentage points from the prior quarter.
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Analysis
Maxlinear (MXL) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Maxlinear's Return on Capital Employed [ROCE] was -19.69%, up 8.58 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -3.65 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -28.27% in FY2024 (-24.06 pp), -4.21% in FY2023 (-27.49 pp), 23.28% in FY2022 (+15.41 pp) and 7.87% in FY2021 (+23.91 pp).
- The Q3 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- Year-over-year, Return on Capital Employed [ROCE] has increased for five consecutive quarters, with an average year-over-year change of +2.86 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2022 (a gain of 22.78 percentage points), and the weakest in Q1 2024 (a drop of 34.78 percentage points).
- Business Quant data shows MXL's Return on Capital Employed [ROCE] at -12.34% (Q2 2026), -15.38% (Q1 2026) and -20.59% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,980.27 Bn | 24,964.04 Bn | 43.99 Bn | 52.74% |
| 2 | Taiwan Semiconductor Manufacturing | 10,337.48 Bn | 9,919.73 Bn | 31.04 Bn | 8.88% |
| 3 | Nvidia | 3,939.34 Bn | 3,713.50 Bn | 72.14 Bn | 80.04% |
| 4 | Broadcom | 1,653.85 Bn | 1,579.89 Bn | 20.46 Bn | 26.30% |
| 5 | Micron Technology | 880.27 Bn | 785.91 Bn | 47.05 Bn | 72.24% |
| 6 | Advanced Micro Devices | 875.86 Bn | 824.07 Bn | 7.21 Bn | 10.71% |
| 7 | Asml Holding | 576.26 Bn | 531.95 Bn | 5.90 Bn | - |
| 8 | Intel | 316.79 Bn | 179.50 Bn | 7.10 Bn | 0.99% |
| 9 | Applied Materials | 294.03 Bn | 294.03 Bn | 5.25 Bn | - |
| 10 | Maxlinear | 5.08 Bn | 4.80 Bn | 128.07 Mn | -0.87% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.87% |
| Jun 30, 2026 | -12.34% |
| Mar 31, 2026 | -15.38% |
| Dec 31, 2025 | -20.59% |
| Sep 30, 2025 | -23.48% |
| Jun 30, 2025 | -27.65% |
| Mar 31, 2025 | -29.38% |
| Dec 31, 2024 | -32.01% |
| Sep 30, 2024 | -29.25% |
| Jun 30, 2024 | -21.56% |
| Mar 31, 2024 | -16.85% |
| Dec 31, 2023 | -4.39% |
| Sep 30, 2023 | 4.97% |
| Jun 30, 2023 | 12.20% |
| Mar 31, 2023 | 17.93% |
| Dec 31, 2022 | 21.45% |
| Sep 30, 2022 | 20.28% |
| Jun 30, 2022 | 17.03% |
| Mar 31, 2022 | 12.32% |
| Dec 31, 2021 | 7.72% |
API Access
Maxlinear Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=MXL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MXL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=MXL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();