Maase (MAAS) Finished Goods (2025 - 2026)
Maase's Finished Goods came in at $64.23 million for fiscal Q4 2026 (quarter ended Jun 30, 2026).
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Analysis
Maase (MAAS) Finished Goods (2025 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,248.67 Bn | -185.49 Bn | 56.71 Bn |
| 2 | Chubb | 141.22 Bn | 92.15 Bn | 8.67 Bn |
| 3 | Progressive | 134.26 Bn | 109.78 Bn | 8.29 Bn |
| 4 | Marsh & Mclennan Companies | 98.32 Bn | 90.72 Bn | - |
| 5 | Travelers Companies | 82.09 Bn | 59.57 Bn | 5.93 Bn |
| 6 | Manulife Financial | 75.36 Bn | -19.02 Bn | - |
| 7 | Arthur J. Gallagher | 72.54 Bn | 67.17 Bn | 3.33 Bn |
| 8 | Aon | 71.33 Bn | 50.56 Bn | - |
| 9 | Allstate | 65.04 Bn | 22.10 Bn | -9.85 Bn |
| 10 | Maase | 4.31 Bn | 4.29 Bn | - |
API Access
Maase Finished Goods 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=finished-goods&ticker=MAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "MAAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=MAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();