MasterBrand (MBC) Selling, General & Administrative (2022 - 2026)
MasterBrand (MBC) reported Selling, General & Administrative of $216.7 million for Q2 2026, up 35.9% from $159.4 million a year earlier and up 39.0% from the prior quarter.
MasterBrand (MBC) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, MasterBrand's Selling, General & Administrative came in at $727 million, up 15.0% year-over-year; for FY2025, it came in at $667.8 million, up 10.7% from FY2024.
- Selling, General & Administrative has a four-year compound annual growth rate of 6.1% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $603.1 million in FY2024 (+5.9%), $569.7 million in FY2023 (-12.2%), $648.5 million in FY2022 (+22.9%) and $527.6 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last six quarters, with growth averaging 12.4% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2026 (growth of 35.9%); the low point was Q3 2023 (a decline of 20.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $155.9 million (Q1 2026), $186.9 million (Q4 2025) and $167.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | 148.50 Mn |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | - |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | 533.60 Mn |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | 508.00 Mn |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | 117.81 Mn |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | 428.00 Mn |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | 30.28 Mn |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | 16.70 Mn |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | 302.50 Mn |
| 10 | MasterBrand | 1.04 Bn | 364.08 Mn | 205.50 Mn | 216.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 216.70 Mn |
| Mar 29, 2026 | 155.90 Mn |
| Dec 28, 2025 | 186.90 Mn |
| Sep 28, 2025 | 167.50 Mn |
| Jun 29, 2025 | 159.40 Mn |
| Mar 30, 2025 | 154.00 Mn |
| Dec 29, 2024 | 152.30 Mn |
| Sep 29, 2024 | 166.30 Mn |
| Jun 30, 2024 | 146.70 Mn |
| Mar 31, 2024 | 137.80 Mn |
| Dec 31, 2023 | 152.40 Mn |
| Sep 24, 2023 | 140.30 Mn |
| Jun 25, 2023 | 141.70 Mn |
| Mar 26, 2023 | 135.30 Mn |
| Dec 25, 2022 | 161.30 Mn |
| Sep 25, 2022 | 176.20 Mn |
| Jun 26, 2022 | 166.00 Mn |
| Mar 27, 2022 | 145.10 Mn |
MasterBrand Selling, General & Administrative 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=selling-general-and-administrative&ticker=MBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();