Marchex (MCHX) Return on Capital Employed [ROCE] (2009 - 2026)
Marchex (MCHX) posted Return on Capital Employed [ROCE] of -13.53% for Q2 2026, up 1.26 percentage points from -14.79% a year earlier.
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Analysis
Marchex (MCHX) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Marchex's Return on Capital Employed [ROCE] came in at -17.15%, down 4.82 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +38.08 percentage points (FY2020 to FY2025).
- In prior years, Marchex's Return on Capital Employed [ROCE] was -12.33% in FY2024 (+10.41 pp), -22.73% in FY2023 (-6.19 pp), -16.55% in FY2022 (+3.55 pp) and -20.09% in FY2021 (+35.14 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in four of the last seven quarters, with an average year-over-year change of +3.42 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2021, with a gain of 43.49 percentage points; the weakest was Q3 2023, with a drop of 17.36 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 30.95% |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 9.81% |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 34.05% |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 10.68% |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -53.96% |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 7.48% |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | -30.53% |
| 10 | Marchex | 6.53 Bn | 6.53 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -16.46% |
| Mar 31, 2026 | -16.83% |
| Dec 31, 2025 | -17.70% |
| Sep 30, 2025 | -14.73% |
| Jun 30, 2025 | -14.79% |
| Mar 31, 2025 | -14.74% |
| Dec 31, 2024 | -12.94% |
| Sep 30, 2024 | -11.02% |
| Jun 30, 2024 | -12.41% |
| Mar 31, 2024 | -17.20% |
| Dec 31, 2023 | -25.01% |
| Sep 30, 2023 | -30.04% |
| Jun 30, 2023 | -29.94% |
| Mar 31, 2023 | -25.42% |
| Dec 31, 2022 | -17.41% |
| Sep 30, 2022 | -12.69% |
| Jun 30, 2022 | -13.00% |
| Mar 31, 2022 | -15.65% |
| Dec 31, 2021 | -21.63% |
| Sep 30, 2021 | -28.38% |
API Access
Marchex 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=MCHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MCHX", "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=MCHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();