Masco (MAS) Return on Sales [ROS] (2009 - 2026)
Masco's Return on Sales [ROS] was 23.59% in Q2 2026, up 3.51 percentage points from 20.09% a year earlier and up 7.12 percentage points from the prior quarter.
Masco (MAS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Masco's Return on Sales [ROS] was 17.53% through Jun 30, 2026, down 0.02 percentage points year-over-year; for FY2025, it came in at 16.50%, down 0.91 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1.51 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 17.41% in FY2024 (+0.49 pp), 16.92% in FY2023 (+1.98 pp), 14.94% in FY2022 (-1.83 pp) and 16.78% in FY2021 (-1.24 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q1 2009.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +0.21 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2026 (a gain of 3.51 percentage points); the worst was Q4 2021 (a drop of 5.72 percentage points).
- Per Business Quant data, MAS's Return on Sales [ROS] in the three quarters before Q2 2026 was 16.48% (Q1 2026), 13.78% (Q4 2025) and 15.81% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 19.27% |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 14.92% |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | 17.09% |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 12.99% |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 14.90% |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 14.76% |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 23.59% |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 22.12% |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 22.45% |
| 10 | Lennox International | 12.31 Bn | 12.11 Bn | 539.50 Mn | 22.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.59% |
| Mar 31, 2026 | 16.48% |
| Dec 31, 2025 | 13.78% |
| Sep 30, 2025 | 15.81% |
| Jun 30, 2025 | 20.09% |
| Mar 31, 2025 | 15.88% |
| Dec 31, 2024 | 15.86% |
| Sep 30, 2024 | 18.00% |
| Jun 30, 2024 | 18.99% |
| Mar 31, 2024 | 16.51% |
| Dec 31, 2023 | 13.12% |
| Sep 30, 2023 | 19.35% |
| Jun 30, 2023 | 18.95% |
| Mar 31, 2023 | 15.92% |
| Dec 31, 2022 | 9.62% |
| Sep 30, 2022 | 15.93% |
| Jun 30, 2022 | 17.35% |
| Mar 31, 2022 | 16.04% |
| Dec 31, 2021 | 10.78% |
| Sep 30, 2021 | 17.47% |
Masco 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=MAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MAS", "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=MAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();