MasterBrand (MBC) Accumulated Expenses (2022)
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Analysis
MasterBrand (MBC) Accumulated Expenses (2022) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 31.91 Bn | 29.35 Bn | 1.17 Bn |
| 2 | Somnigroup International | 14.46 Bn | 13.50 Bn | 987.70 Mn |
| 3 | Hni | 3.56 Bn | 3.24 Bn | 678.50 Mn |
| 4 | Newell Brands | 2.53 Bn | 1.66 Bn | 649.00 Mn |
| 5 | Arhaus | 2.11 Bn | 1.13 Bn | 144.42 Mn |
| 6 | Whirlpool | 2.00 Bn | -1.65 Bn | 473.00 Mn |
| 7 | Sonos | 2.00 Bn | 2.00 Bn | 158.73 Mn |
| 8 | Cricut | 1.81 Bn | 714.91 Mn | 108.88 Mn |
| 9 | Millerknoll | 1.51 Bn | 871.52 Mn | 385.30 Mn |
| 10 | MasterBrand | 1.36 Bn | 652.31 Mn | 254.90 Mn |
API Access
MasterBrand 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=MBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=MBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();