Glass House Brands (GLAS) Enterprise Value (2019 - 2026)
Glass House Brands (GLAS) recorded Enterprise Value of $1.05 billion in Q2 2026, up 187.2% from $364.44 million a year earlier and up 58.7% from the prior quarter.
Glass House Brands (GLAS) Enterprise Value (2019 - 2026) Analysis & Trends
On a TTM basis, Glass House Brands' Enterprise Value came in at $990.73 million as of Jun 30, 2026, up 284.2% year-over-year; for FY2025, it was $720.85 million, up 98.1% from FY2024.
- Annual Enterprise Value has increased for three straight years, with a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $363.86 million in FY2024 (+26.1%), $288.49 million in FY2023 (+176.9%), $104.18 million in FY2022 (-87.9%) and $858.02 million in FY2021 (+266.2%).
- The Q2 2026 figure is the highest quarterly Enterprise Value in data going back to Q4 2019.
- On a year-over-year basis, Enterprise Value has increased for three consecutive quarters, with growth averaging 63.9% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 266.2% in Q4 2021, against a decline of 87.9% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $659.52 million (Q1 2026), $720.85 million (Q4 2025) and $546.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn |
| 10 | Glass House Brands | 560.44 Mn | 486.00 Mn | 15.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.05 Bn |
| Mar 31, 2026 | 659.52 Mn |
| Dec 31, 2025 | 720.85 Mn |
| Sep 30, 2025 | 546.58 Mn |
| Jun 30, 2025 | 364.44 Mn |
| Mar 31, 2025 | 292.45 Mn |
| Dec 31, 2024 | 363.86 Mn |
| Sep 30, 2024 | 593.53 Mn |
| Jun 30, 2024 | 459.67 Mn |
| Mar 31, 2024 | 526.88 Mn |
| Dec 31, 2023 | 288.49 Mn |
| Sep 30, 2023 | 239.96 Mn |
| Jun 30, 2023 | 175.12 Mn |
| Mar 31, 2023 | 156.71 Mn |
| Dec 31, 2022 | 104.18 Mn |
| Sep 6, 2022 | 615.28 Mn |
| Jun 30, 2022 | 663.33 Mn |
| Mar 31, 2022 | 945.77 Mn |
| Dec 31, 2021 | 858.02 Mn |
| Sep 30, 2021 | 22.23 Mn |
Glass House Brands Enterprise Value 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=enterprise-value&ticker=GLAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GLAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();