Masco (MAS) Operating Expenses (2009 - 2026)
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Analysis
Masco (MAS) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 1.04 Bn |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | 5.49 Bn |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 314.17 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 3.29 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 283.90 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 381.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 263.60 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 198.00 Mn |
| 10 | Madison Air Solutions | 12.59 Bn | 9.25 Bn | 422.70 Mn | 151.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 381.00 Mn |
| 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 |
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();