Glass House Brands (GLAS) Tax Provisions (2018 - 2026)
Glass House Brands (GLAS) recorded Tax Provisions of $3.06 million in Q2 2026, down 26.4% from $4.16 million a year earlier but up 2.8% from the prior quarter.
Glass House Brands (GLAS) Tax Provisions (2018 - 2026) Analysis & Trends
On a TTM basis, Glass House Brands' Tax Provisions came in at $10.08 million as of Jun 30, 2026, down 39.1% year-over-year; for FY2025, it was $11.93 million, up 13.7% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of -92.9% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $10.5 million in FY2024 (+5.6%), $9.94 million in FY2023, -$4.39 million in FY2022 and $2.01 million in FY2021 (-100.0%).
- Quarterly Tax Provisions has ranged from -$6.91 million in Q4 2022 to $8.94 million in Q3 2024 over the past five years.
- On a year-over-year basis, Tax Provisions rose in three of the last five quarters, with growth averaging 77.8%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 463.9% in Q4 2025, against a decline of 96.1% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.98 million (Q1 2026), $2.97 million (Q4 2025) and $1.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 311.80 Bn | 291.44 Bn | 7.66 Bn | 955.00 Mn |
| 2 | British American Tobacco p.l.c | 126.62 Bn | 102.98 Bn | - | - |
| 3 | Altria | 123.11 Bn | 109.27 Bn | 3.82 Bn | 631.00 Mn |
| 4 | Curaleaf Holdings | 2.20 Bn | 1.80 Bn | 169.91 Mn | -38.80 Mn |
| 5 | RLX Technology | 2.11 Bn | -1.66 Bn | 52.74 Mn | -3.66 Mn |
| 6 | Trulieve Cannabis | 1.99 Bn | 602.89 Mn | 162.29 Mn | 21.97 Mn |
| 7 | Green Thumb Industries | 1.41 Bn | 255.21 Mn | 137.87 Mn | 12.52 Mn |
| 8 | Turning Point Brands | 1.20 Bn | 306.98 Mn | 93.70 Mn | 3.68 Mn |
| 9 | Cronos | 1.20 Bn | -2.08 Bn | 28.45 Mn | 51,000.00 |
| 10 | Glass House Brands | 306.85 Mn | 232.41 Mn | 15.77 Mn | 3.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.06 Mn |
| Mar 31, 2026 | 2.98 Mn |
| Dec 31, 2025 | 2.97 Mn |
| Sep 30, 2025 | 1.07 Mn |
| Jun 30, 2025 | 4.16 Mn |
| Mar 31, 2025 | 2.93 Mn |
| Dec 31, 2024 | 526,000.00 |
| Sep 30, 2024 | 8.94 Mn |
| Jun 30, 2024 | 203,000.00 |
| Dec 31, 2023 | -4.22 Mn |
| Sep 30, 2023 | 6.50 Mn |
| Jun 30, 2023 | 5.25 Mn |
| Dec 31, 2022 | -7.41 Mn |
| Sep 30, 2022 | 2.63 Mn |
| Jun 30, 2022 | 1.73 Mn |
| Mar 31, 2022 | -1.40 Mn |
| Dec 31, 2021 | -1.74 Mn |
| Sep 30, 2021 | 773,000.00 |
| Jun 30, 2021 | 2.49 Mn |
| Mar 31, 2021 | 1.78 Mn |
Glass House Brands Tax Provisions 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=tax-provisions&ticker=GLAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GLAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();