BrilliA (BRIA) Dividends payables (2026)
Powered by 
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 | 56.18 Bn | 22.38 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | - |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | - |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | - |
| 10 | BrilliA | 35.00 Mn | 4.87 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();