Mind Cti (MNDO) Return on Capital Employed [ROCE] (2009 - 2026)
Mind Cti's Return on Capital Employed [ROCE] came in at 11.43% for Q2 2026, up 1.21 percentage points from 10.23% a year earlier and up 1.31 percentage points from the prior quarter.
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Analysis
Mind Cti (MNDO) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Mind Cti's Return on Capital Employed [ROCE] was 7.95%, down 7.74 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined in each of the last four years, with a five-year change of -12.97 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 15.69% in FY2024 (-1.76 pp), 17.45% in FY2023 (-2.81 pp), 20.26% in FY2022 (-4.90 pp) and 25.16% in FY2021 (+4.24 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Year-over-year, Return on Capital Employed [ROCE] increased in 1 of the last eight quarters, with an average year-over-year change of -4.37 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2021 (a gain of 4.36 percentage points), and the weakest in Q4 2025 (a drop of 8.05 percentage points).
- Business Quant data shows MNDO's Return on Capital Employed [ROCE] at 10.13% (Q1 2026), 8.16% (Q4 2025) and 10.44% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | Mind Cti | 20.58 Mn | -10.48 Mn | 2.55 Mn | 11.43% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.43% |
| Mar 31, 2026 | 10.13% |
| Dec 31, 2025 | 8.16% |
| Sep 30, 2025 | 10.44% |
| Jun 30, 2025 | 10.23% |
| Mar 31, 2025 | 15.10% |
| Dec 31, 2024 | 16.21% |
| Sep 30, 2024 | 16.53% |
| Jun 30, 2024 | 17.60% |
| Mar 31, 2024 | 20.37% |
| Dec 31, 2023 | 17.89% |
| Sep 30, 2023 | 19.27% |
| Jun 30, 2023 | 19.11% |
| Mar 31, 2023 | 23.11% |
| Dec 31, 2022 | 21.53% |
| Sep 30, 2022 | 23.81% |
| Jun 30, 2022 | 24.09% |
| Mar 31, 2022 | 29.44% |
| Dec 31, 2021 | 25.68% |
| Sep 30, 2021 | 24.96% |
API Access
Mind Cti 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=MNDO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MNDO", "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=MNDO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();