MaxsMaking (MAMK) Price to Book (2025)
MaxsMaking's Price to Book was 5.97 in fiscal Q4 2025 (quarter ended Oct 31, 2025).
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Analysis
MaxsMaking (MAMK) Price to Book (2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.05 Bn | 18.05 Bn | 5.39 Bn |
| 2 | Tapestry | 23.90 Bn | 19.86 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.81 Bn | 13.91 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.33 Bn | 4.20 Bn | - |
| 5 | Lululemon Athletica | 10.22 Bn | 4.47 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.69 Bn | 4.35 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.41 Bn | 5.41 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.37 Bn | 493.89 Mn |
| 9 | Crocs | 5.74 Bn | 5.15 Bn | 700.71 Mn |
| 10 | MaxsMaking | 201.73 Mn | 201.94 Mn | - |
API Access
MaxsMaking 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=MAMK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "MAMK", "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=MAMK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();