BrilliA (BRIA) Dividends payables (2026)
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Analysis
BrilliA (BRIA) Dividends payables (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 59.22 Bn | 25.42 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | - |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | - |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | - |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | - |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | - |
| 10 | BrilliA | 36.75 Mn | 6.63 Mn | - | 3.33 Mn |
API Access
BrilliA Dividends payables 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=dividends-payables&ticker=BRIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "ticker": "BRIA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividends-payables&ticker=BRIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();