Marketwise (MKTW) Return on Capital Employed [ROCE] (2021 - 2025)
Marketwise (MKTW) recorded Return on Capital Employed [ROCE] of 1319.76% in FY2025, up 1188.56 percentage points from 131.20% in FY2024.
Analysis
Marketwise (MKTW) Return on Capital Employed [ROCE] (2021 - 2025) Analysis & Trends
Starting with FY2022, Marketwise's Return on Capital Employed [ROCE] history includes 4 years.
- Annual Return on Capital Employed [ROCE] has a three-year change of +1132.15 percentage points (FY2022 to FY2025).
- Per Business Quant data, MKTW's Return on Capital Employed [ROCE] was 131.20% in FY2024 (+17.69 pp), 113.51% in FY2023 (-74.09 pp) and 187.60% in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 9.81% |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | -68.70% |
| 10 | Marketwise | 310.73 Mn | -129.35 Mn | 64.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 6,258.86% |
| Dec 31, 2024 | 1,019.92% |
| Sep 30, 2024 | 513.59% |
| Jun 30, 2024 | 225.45% |
| Mar 31, 2024 | 97.12% |
| Dec 31, 2023 | 102.88% |
| Sep 30, 2023 | 87.24% |
| Jun 30, 2023 | 102.37% |
| Mar 31, 2023 | 97.14% |
| Dec 31, 2022 | 163.63% |
| Sep 30, 2022 | 194.52% |
| Jun 30, 2022 | -849.08% |
| Mar 31, 2022 | -1,008.59% |
| Dec 31, 2021 | -5,692.23% |
| Jun 30, 2021 | -258.60% |
API Access
Marketwise 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=MKTW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MKTW", "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=MKTW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();