Masco (MAS) Accumulated Expenses (2009 - 2026)
Masco's Accumulated Expenses was $795 million in Q3 2026, up 8.6% from $732 million a year earlier and up 5.4% from the prior quarter.
Analysis
Masco (MAS) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Masco came in at $761 million, down 0.8% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -6.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $767 million in FY2024 (-10.0%), $852 million in FY2023 (+5.6%), $807 million in FY2022 (-8.7%) and $884 million in FY2021 (-14.8%).
- The Q3 2026 figure marks the highest quarterly Accumulated Expenses since Q4 2023.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 0.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2022 (growth of 11.2%); the worst was Q4 2021 (a decline of 14.8%).
- Per Business Quant data, MAS's Accumulated Expenses in the three quarters before Q3 2026 was $754 million (Q2 2026), $630 million (Q1 2026) and $761 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 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 |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn |
| 10 | Madison Air Solutions | 12.59 Bn | 9.25 Bn | 422.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 795.00 Mn |
| Jun 30, 2026 | 754.00 Mn |
| Mar 31, 2026 | 630.00 Mn |
| Dec 31, 2025 | 761.00 Mn |
| Sep 30, 2025 | 732.00 Mn |
| Jun 30, 2025 | 690.00 Mn |
| Mar 31, 2025 | 602.00 Mn |
| Dec 31, 2024 | 767.00 Mn |
| Sep 30, 2024 | 742.00 Mn |
| Jun 30, 2024 | 718.00 Mn |
| Mar 31, 2024 | 690.00 Mn |
| Dec 31, 2023 | 852.00 Mn |
| Sep 30, 2023 | 752.00 Mn |
| Jun 30, 2023 | 712.00 Mn |
| Mar 31, 2023 | 692.00 Mn |
| Dec 31, 2022 | 807.00 Mn |
| Sep 30, 2022 | 771.00 Mn |
| Jun 30, 2022 | 831.00 Mn |
| Mar 31, 2022 | 749.00 Mn |
| Dec 31, 2021 | 884.00 Mn |
API Access
Masco Accumulated 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=accumulated-expenses&ticker=MAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();