Brilliant Earth (BRLT) Shares Outstanding (Diluted) (2021 - 2026)
Brilliant Earth (BRLT) recorded Shares Outstanding (Diluted) of 101.68 million in Q2 2026, up 598.7% from 14.55 million a year earlier and up 543.1% from the prior quarter.
Brilliant Earth (BRLT) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Brilliant Earth reported Shares Outstanding (Diluted) of 14.75 million, down 85.0% from FY2024.
- Annual Shares Outstanding (Diluted) has a four-year compound annual growth rate of -37.5% (FY2021 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 98.35 million in FY2024 (+1.3%), 97.06 million in FY2023 (+0.6%), 96.51 million in FY2022 (-0.2%) and 96.74 million in FY2021.
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in four of the last eight quarters, with growth averaging 35.1%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 759.2% in Q1 2024, against a decline of 88.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 15.81 million (Q1 2026), 14.75 million (Q4 2025) and 14.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 210.20 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 61.30 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | 144.29 Mn |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 112.92 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 389.63 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 160.20 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 186.51 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 49.63 Mn |
| 10 | Brilliant Earth | 135.42 Mn | -89.45 Mn | 66.64 Mn | 101.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 101.68 Mn |
| Mar 31, 2026 | 15.81 Mn |
| Dec 31, 2025 | 14.75 Mn |
| Sep 30, 2025 | 14.99 Mn |
| Jun 30, 2025 | 14.55 Mn |
| Mar 31, 2025 | 14.11 Mn |
| Dec 31, 2024 | 98.35 Mn |
| Sep 30, 2024 | 13.55 Mn |
| Jun 30, 2024 | 98.23 Mn |
| Mar 31, 2024 | 97.85 Mn |
| Dec 31, 2023 | 97.06 Mn |
| Sep 30, 2023 | 97.19 Mn |
| Jun 30, 2023 | 96.89 Mn |
| Mar 31, 2023 | 11.39 Mn |
| Dec 31, 2022 | 96.51 Mn |
| Sep 30, 2022 | 96.57 Mn |
| Jun 30, 2022 | 96.21 Mn |
| Mar 31, 2022 | 96.53 Mn |
| Dec 31, 2021 | 96.74 Mn |
| Sep 30, 2021 | 96.62 Mn |
Brilliant Earth Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=BRLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "BRLT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=BRLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();