MasterBrand (MBC) Price to Book (2022 - 2026)
MasterBrand's Price to Book was 0.77 in Q2 2026, down 23.1% from 1.00 a year earlier and down 4.0% from the prior quarter.
Analysis
MasterBrand (MBC) Price to Book (2022 - 2026) Analysis & Trends
For FY2025, Price to Book at MasterBrand came in at 1.07, down 25.1% from FY2024.
- In earlier years, Price to Book was 1.42 in FY2024 (-9.8%), 1.58 in FY2023 (+64.1%) and 0.96 in FY2022.
- The Q2 2026 figure marks the lowest quarterly Price to Book in data going back to Q4 2022.
- Compared with a year earlier, Price to Book has declined for seven straight quarters, with an average decline of 19.6% over the last eight quarters.
- The best year-over-year quarter for Price to Book over five years was Q1 2024 (growth of 117.6%); the worst was Q1 2026 (a decline of 37.1%).
- Per Business Quant data, MBC's Price to Book in the three quarters before Q2 2026 was 0.80 (Q1 2026), 1.07 (Q4 2025) and 1.25 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn |
| 10 | MasterBrand | 1.08 Bn | 398.64 Mn | 205.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 0.77 |
| Mar 29, 2026 | 0.80 |
| Dec 28, 2025 | 1.07 |
| Sep 28, 2025 | 1.25 |
| Jun 29, 2025 | 1.00 |
| Mar 30, 2025 | 1.28 |
| Dec 29, 2024 | 1.42 |
| Sep 29, 2024 | 1.81 |
| Jun 30, 2024 | 1.48 |
| Mar 31, 2024 | 1.94 |
| Dec 31, 2023 | 1.58 |
| Sep 24, 2023 | 1.34 |
| Jun 25, 2023 | 1.28 |
| Mar 26, 2023 | 0.89 |
| Dec 25, 2022 | 0.96 |
API Access
MasterBrand Price to Book 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=price-to-book&ticker=MBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();