MasterBrand (MBC) Operating Expenses (2022 - 2026)
MasterBrand (MBC) recorded Operating Expenses of $225.9 million in Q2 2026, up 36.1% from $166 million a year earlier and up 33.9% from the prior quarter.
MasterBrand (MBC) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, MasterBrand's Operating Expenses came in at $752.9 million as of Jun 28, 2026, up 14.4% year-over-year; for FY2025, it was $683 million, up 10.0% from FY2024.
- Annual Operating Expenses has a four-year compound annual growth rate of 6.5% (FY2021 to FY2025).
- Across earlier years, Operating Expenses came in at $621.1 million in FY2024 (+7.1%), $579.8 million in FY2023 (-13.9%), $673.6 million in FY2022 (+26.7%) and $531.8 million in FY2021.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2022.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 13.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 36.1% in Q2 2026, against a decline of 23.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $168.7 million (Q1 2026), $188.2 million (Q4 2025) and $170.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | - |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 117.81 Mn |
| 10 | MasterBrand | 1.08 Bn | 398.64 Mn | 205.50 Mn | 225.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 225.90 Mn |
| Mar 29, 2026 | 168.70 Mn |
| Dec 28, 2025 | 188.20 Mn |
| Sep 28, 2025 | 170.10 Mn |
| Jun 29, 2025 | 166.00 Mn |
| Mar 30, 2025 | 158.70 Mn |
| Dec 29, 2024 | 159.30 Mn |
| Sep 29, 2024 | 174.10 Mn |
| Jun 30, 2024 | 149.50 Mn |
| Mar 31, 2024 | 138.20 Mn |
| Dec 31, 2023 | 158.40 Mn |
| Sep 24, 2023 | 141.70 Mn |
| Jun 25, 2023 | 144.80 Mn |
| Mar 26, 2023 | 134.90 Mn |
| Dec 25, 2022 | 175.50 Mn |
| Sep 25, 2022 | 185.80 Mn |
| Jun 26, 2022 | 167.30 Mn |
| Mar 27, 2022 | 145.10 Mn |
MasterBrand 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=MBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MBC", "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=MBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();