Glass House Brands (GLAS) Shares Outstanding (Diluted) (2020 - 2026)
Glass House Brands' Shares Outstanding (Diluted) came in at 81.94 million for Q2 2026, up 8.9% from 75.23 million a year earlier and unchanged from the prior quarter.
Glass House Brands (GLAS) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Going back to Q4 2020, Glass House Brands' Shares Outstanding (Diluted) data covers 23 quarters.
- Shares Outstanding (Diluted) has increased in each of the last five years, with a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 75.23 million in FY2024 (+4.4%), 72.03 million in FY2023 (+12.2%), 64.18 million in FY2022 (+63.6%) and 39.24 million in FY2021 (+84.5%).
- Year-over-year, Shares Outstanding (Diluted) has increased for 11 consecutive quarters, with growth averaging 7.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 4.4% (Q4 2024) to 84.5% (Q2 2022).
- Business Quant data shows GLAS's Shares Outstanding (Diluted) at 81.94 million (Q1 2026), 81.94 million (Q4 2025) and 75.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 310.33 Bn | 289.97 Bn | 7.66 Bn | 1.56 Bn |
| 2 | British American Tobacco p.l.c | 129.84 Bn | 106.21 Bn | - | 2.20 Bn |
| 3 | Altria | 124.50 Bn | 110.65 Bn | 3.82 Bn | 1.67 Bn |
| 4 | Curaleaf Holdings | 2.20 Bn | 1.80 Bn | 169.91 Mn | 270.70 Mn |
| 5 | Trulieve Cannabis | 2.19 Bn | 808.15 Mn | 162.29 Mn | 192.71 Mn |
| 6 | RLX Technology | 2.06 Bn | -1.71 Bn | 52.74 Mn | 1.22 Bn |
| 7 | Green Thumb Industries | 1.47 Bn | 319.31 Mn | 137.87 Mn | 222.78 Mn |
| 8 | Turning Point Brands | 1.33 Bn | 437.96 Mn | 93.70 Mn | 20.16 Mn |
| 9 | Cronos | 1.28 Bn | -2.00 Bn | 28.45 Mn | 375.06 Mn |
| 10 | Glass House Brands | 188.86 Mn | 114.42 Mn | 15.77 Mn | 81.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.94 Mn |
| Mar 31, 2026 | 81.94 Mn |
| Dec 31, 2025 | 81.94 Mn |
| Sep 30, 2025 | 75.23 Mn |
| Jun 30, 2025 | 75.23 Mn |
| Mar 31, 2025 | 75.23 Mn |
| Dec 31, 2024 | 75.23 Mn |
| Sep 30, 2024 | 72.03 Mn |
| Jun 30, 2024 | 72.03 Mn |
| Mar 31, 2024 | 72.03 Mn |
| Dec 31, 2023 | 72.03 Mn |
| Sep 30, 2023 | 64.18 Mn |
| Jun 30, 2023 | 64.18 Mn |
| Mar 31, 2023 | 64.18 Mn |
| Dec 31, 2022 | 64.18 Mn |
| Sep 30, 2022 | 39.24 Mn |
| Jun 30, 2022 | 39.24 Mn |
| Mar 31, 2022 | 39.24 Mn |
| Dec 31, 2021 | 39.24 Mn |
| Sep 30, 2021 | 21.27 Mn |
Glass House Brands 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=GLAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GLAS", "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=GLAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();