Masco (MAS) Operating Expenses (2009 - 2026)
Masco's Operating Expenses was $397 million in Q2 2026, up 10.0% from $361 million a year earlier and up 7.6% from the prior quarter.
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Analysis
Masco (MAS) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Masco's Operating Expenses was $1.47 billion through Jun 30, 2026, up 2.9% year-over-year; for FY2025, it was $1.43 billion, down 2.9% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.47 billion in FY2024 (-0.3%), $1.47 billion in FY2023 (+6.0%), $1.39 billion in FY2022 (-1.6%) and $1.41 billion in FY2021 (+9.4%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2013.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with an average decline of 1.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 17.4%); the worst was Q4 2024 (a decline of 12.0%).
- Per Business Quant data, MAS's Operating Expenses in the three quarters before Q2 2026 was $369 million (Q1 2026), $354 million (Q4 2025) and $353 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 1.49 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 287.05 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 5.58 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.28 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 327.40 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 397.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 262.80 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 210.70 Mn |
| 10 | Lennox International | 12.73 Bn | 12.54 Bn | 539.50 Mn | 183.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 397.00 Mn |
| Mar 31, 2026 | 369.00 Mn |
| Dec 31, 2025 | 354.00 Mn |
| Sep 30, 2025 | 353.00 Mn |
| Jun 30, 2025 | 361.00 Mn |
| Mar 31, 2025 | 358.00 Mn |
| Dec 31, 2024 | 345.00 Mn |
| Sep 30, 2024 | 368.00 Mn |
| Jun 30, 2024 | 388.00 Mn |
| Mar 31, 2024 | 367.00 Mn |
| Dec 31, 2023 | 392.00 Mn |
| Sep 30, 2023 | 361.00 Mn |
| Jun 30, 2023 | 366.00 Mn |
| Mar 31, 2023 | 354.00 Mn |
| Dec 31, 2022 | 334.00 Mn |
| Sep 30, 2022 | 344.00 Mn |
| Jun 30, 2022 | 361.00 Mn |
| Mar 31, 2022 | 351.00 Mn |
| Dec 31, 2021 | 356.00 Mn |
| Sep 30, 2021 | 368.00 Mn |
API Access
Masco Operating Expenses 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=operating-expenses&ticker=MAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();