Glass House Brands (GLAS) Total Liabilities (2020 - 2026)
Glass House Brands' Total Liabilities was $240.75 million in Q2 2026, up 69.2% from $142.25 million a year earlier but down 3.1% from the prior quarter.
Glass House Brands (GLAS) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Glass House Brands came in at $244.62 million, up 25.9% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -18.8% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $194.27 million in FY2024 (+22.5%), $158.54 million in FY2023 (-12.8%), $181.77 million in FY2022 (+72.4%) and $105.45 million in FY2021 (-84.8%).
- Quarterly Total Liabilities has moved between $65.71 million (Q3 2021) and $248.49 million (Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for four straight quarters, with growth averaging 26.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q2 2022 (growth of 303.2%); the worst was Q4 2021 (a decline of 84.8%).
- Per Business Quant data, GLAS's Total Liabilities in the three quarters before Q2 2026 was $248.49 million (Q1 2026), $244.62 million (Q4 2025) and $238.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | 76.85 Bn |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | 80.22 Bn |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | 36.04 Bn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 1.95 Bn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | 179.91 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | 1.31 Bn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 954.64 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 62.42 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 401.17 Mn |
| 10 | Glass House Brands | 560.44 Mn | 486.00 Mn | 15.77 Mn | 240.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.75 Mn |
| Mar 31, 2026 | 248.49 Mn |
| Dec 31, 2025 | 244.62 Mn |
| Sep 30, 2025 | 238.44 Mn |
| Jun 30, 2025 | 142.25 Mn |
| Mar 31, 2025 | 137.03 Mn |
| Dec 31, 2024 | 194.27 Mn |
| Sep 30, 2024 | 163.00 Mn |
| Jun 30, 2024 | 159.16 Mn |
| Mar 31, 2024 | 166.84 Mn |
| Dec 31, 2023 | 158.54 Mn |
| Sep 30, 2023 | 165.45 Mn |
| Jun 30, 2023 | 165.13 Mn |
| Mar 31, 2023 | 137.83 Mn |
| Dec 31, 2022 | 181.77 Mn |
| Jun 30, 2022 | 142.46 Mn |
| Mar 31, 2022 | 110.19 Mn |
| Dec 31, 2021 | 105.45 Mn |
| Sep 30, 2021 | 65.71 Mn |
| Jun 30, 2021 | 35.33 Mn |
Glass House Brands Total Liabilities 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=total-liabilities&ticker=GLAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GLAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();