M (MHO) Return on Sales [ROS] (2010 - 2026)
M's Return on Sales [ROS] came in at -68.02% for Q2 2026, down 6.44 percentage points from -61.58% a year earlier but up 0.29 percentage points from the prior quarter.
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Analysis
M (MHO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, M reported Return on Sales [ROS] of -68.80%, down 9.17 percentage points year-over-year; for FY2025, it was -65.06%, down 7.96 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +2.29 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -57.10% in FY2024 (+2.58 pp), -59.68% in FY2023 (-0.32 pp), -59.36% in FY2022 (+2.79 pp) and -62.14% in FY2021 (+5.20 pp).
- The five-year range for quarterly Return on Sales [ROS] is -75.54% (Q4 2025) to -54.64% (Q2 2024).
- Year-over-year, Return on Sales [ROS] has declined for eight consecutive quarters, with an average year-over-year change of -5.98 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 7.25 percentage points), and the weakest in Q4 2025 (a drop of 14.31 percentage points).
- Business Quant data shows MHO's Return on Sales [ROS] at -68.31% (Q1 2026), -75.54% (Q4 2025) and -63.11% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Horton D R | 37.89 Bn | 28.78 Bn | 2.15 Bn | 12.52% |
| 2 | Pultegroup | 21.69 Bn | 14.98 Bn | 1.06 Bn | 16.95% |
| 3 | Lennar | 16.59 Bn | 6.36 Bn | 618.54 Mn | -86.60% |
| 4 | Nvr | 15.98 Bn | 9.26 Bn | 485.14 Mn | 14.38% |
| 5 | Toll Brothers | 12.59 Bn | 7.97 Bn | 625.22 Mn | 13.51% |
| 6 | Taylor Morrison Home | 6.77 Bn | 4.76 Bn | 290.64 Mn | 16.70% |
| 7 | Champion Homes | 4.87 Bn | 2.35 Bn | - | - |
| 8 | Cavco Industries | 4.53 Bn | 3.28 Bn | - | - |
| 9 | Meritage Homes | 4.16 Bn | 1.08 Bn | 513.60 Mn | 16.42% |
| 10 | M | 3.41 Bn | 480.42 Mn | 235.50 Mn | -68.02% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -68.02% |
| Mar 31, 2026 | -68.31% |
| Dec 31, 2025 | -75.54% |
| Sep 30, 2025 | -63.11% |
| Jun 30, 2025 | -61.58% |
| Mar 31, 2025 | -59.13% |
| Dec 31, 2024 | -61.22% |
| Sep 30, 2024 | -56.42% |
| Jun 30, 2024 | -54.64% |
| Mar 31, 2024 | -55.71% |
| Dec 31, 2023 | -60.69% |
| Sep 30, 2023 | -56.07% |
| Jun 30, 2023 | -59.22% |
| Mar 31, 2023 | -62.96% |
| Dec 31, 2022 | -63.95% |
| Sep 30, 2022 | -56.71% |
| Jun 30, 2022 | -55.18% |
| Mar 31, 2022 | -61.04% |
| Dec 31, 2021 | -63.40% |
| Sep 30, 2021 | -62.63% |
API Access
M 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=MHO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MHO", "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=MHO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();