Mind Cti (MNDO) Return on Sales [ROS] (2009 - 2026)
Mind Cti (MNDO) reported Return on Sales [ROS] of 14.96% for Q2 2026, up 9.37 percentage points from 5.60% a year earlier but down 3.13 percentage points from the prior quarter.
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Analysis
Mind Cti (MNDO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mind Cti's Return on Sales [ROS] came in at 15.77%, up 2.38 percentage points year-over-year; for FY2025, it came in at 10.72%, down 9.69 percentage points from FY2024.
- Return on Sales [ROS] has declined for four consecutive years, with a five-year change of -12.65 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 20.41% in FY2024 (-1.56 pp), 21.97% in FY2023 (-3.66 pp), 25.63% in FY2022 (-0.30 pp) and 25.93% in FY2021 (+2.56 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 5.60% in Q2 2025 and a high of 28.54% in Q1 2022.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -2.83 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2026 (a gain of 10.69 percentage points); the low point was Q2 2025 (a drop of 14.71 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 18.09% (Q1 2026), 16.50% (Q4 2025) and 13.35% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Mind Cti | 20.58 Mn | -10.48 Mn | 2.55 Mn | 14.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.96% |
| Mar 31, 2026 | 18.09% |
| Dec 31, 2025 | 16.50% |
| Sep 30, 2025 | 13.35% |
| Jun 30, 2025 | 5.60% |
| Mar 31, 2025 | 7.41% |
| Dec 31, 2024 | 25.39% |
| Sep 30, 2024 | 14.27% |
| Jun 30, 2024 | 20.31% |
| Mar 31, 2024 | 21.56% |
| Dec 31, 2023 | 20.57% |
| Sep 30, 2023 | 23.08% |
| Jun 30, 2023 | 20.45% |
| Mar 31, 2023 | 23.80% |
| Dec 31, 2022 | 22.52% |
| Sep 30, 2022 | 26.30% |
| Jun 30, 2022 | 24.99% |
| Mar 31, 2022 | 28.54% |
| Dec 31, 2021 | 27.32% |
| Sep 30, 2021 | 24.57% |
API Access
Mind Cti Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=MNDO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=MNDO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();