Glass House Brands (GLAS) Non Operating Interest Expenses (2018 - 2026)
Glass House Brands (GLAS) recorded Non Operating Interest Expenses of $628,000 in Q2 2026, down 66.6% from $1.88 million a year earlier and down 50.6% from the prior quarter.
Glass House Brands (GLAS) Non Operating Interest Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Glass House Brands' Non Operating Interest Expenses came in at $4.76 million as of Jun 30, 2026, down 44.3% year-over-year; for FY2025, it came in at $7.06 million, down 23.1% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -92.0% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $9.18 million in FY2024 (-6.5%), $9.82 million in FY2023 (+29.1%), $7.61 million in FY2022 (+178.0%) and $2.74 million in FY2021 (-100.0%).
- The Q2 2026 figure is the lowest quarterly Non Operating Interest Expenses since Q4 2021.
- On a year-over-year basis, Non Operating Interest Expenses has declined for five consecutive quarters, with an average decline of 33.4% over the last seven quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 298.5% in Q4 2022, against a decline of 100.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.27 million (Q1 2026), $1.04 million (Q4 2025) and $1.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | - |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | - |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | - |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | 12.76 Mn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 6.10 Mn |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | - |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | 7.80 Mn |
| 10 | Glass House Brands | 458.84 Mn | 384.40 Mn | 15.77 Mn | 628,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 628,000.00 |
| Mar 31, 2026 | 1.27 Mn |
| Dec 31, 2025 | 1.04 Mn |
| Sep 30, 2025 | 1.82 Mn |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 2.28 Mn |
| Dec 31, 2024 | 2.13 Mn |
| Sep 30, 2024 | 2.26 Mn |
| Jun 30, 2024 | 2.59 Mn |
| Dec 31, 2023 | 3.03 Mn |
| Sep 30, 2023 | 2.16 Mn |
| Jun 30, 2023 | 2.55 Mn |
| Dec 31, 2022 | 2.17 Mn |
| Jun 30, 2022 | 1.57 Mn |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 544,000.00 |
| Sep 30, 2021 | 12,000.00 |
| Jun 30, 2021 | 1.17 Mn |
| Mar 31, 2021 | 1.01 Mn |
| Dec 31, 2020 | 2,179.14 Bn |
Glass House Brands Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=GLAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=GLAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();