Glass House Brands (GLAS) Return on Capital Employed [ROCE] (2021 - 2026)
Glass House Brands' Return on Capital Employed [ROCE] came in at -15.64% for Q2 2026, down 21.62 percentage points from 5.98% a year earlier and down 5.59 percentage points from the prior quarter.
Glass House Brands (GLAS) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Glass House Brands' Return on Capital Employed [ROCE] was -5.98%, down 8.36 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a four-year change of +2.10 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was 2.38% in FY2024 (+23.03 pp), -20.65% in FY2023 (+0.62 pp), -21.27% in FY2022 (-13.19 pp) and -8.08% in FY2021.
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Year-over-year, Return on Capital Employed [ROCE] has declined for three consecutive quarters, with an average year-over-year change of +6.10 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2025 (a gain of 25.32 percentage points), and the weakest in Q2 2022 (a drop of 24.93 percentage points).
- Business Quant data shows GLAS's Return on Capital Employed [ROCE] at -10.06% (Q1 2026), -6.01% (Q4 2025) and -0.73% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.65 Bn | 279.65 Bn | 7.85 Bn | 39.38% |
| 2 | British American Tobacco p.l.c | 132.02 Bn | 108.39 Bn | - | - |
| 3 | Altria | 126.31 Bn | 113.24 Bn | 3.94 Bn | 43.13% |
| 4 | Curaleaf Holdings | 2.41 Bn | 2.02 Bn | 170.48 Mn | 0.43% |
| 5 | Trulieve Cannabis | 2.09 Bn | 707.92 Mn | 162.29 Mn | -11.88% |
| 6 | RLX Technology | 1.95 Bn | -1.82 Bn | 52.74 Mn | 3.59% |
| 7 | Green Thumb Industries | 1.44 Bn | 207.47 Mn | 146.79 Mn | 4.07% |
| 8 | Cronos | 1.36 Bn | -1.92 Bn | 28.45 Mn | -0.22% |
| 9 | Turning Point Brands | 1.29 Bn | 398.08 Mn | 93.70 Mn | 10.34% |
| 10 | Glass House Brands | 159.37 Mn | 84.93 Mn | 15.77 Mn | -15.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.64% |
| Mar 31, 2026 | -10.06% |
| Dec 31, 2025 | -6.01% |
| Sep 30, 2025 | -0.73% |
| Jun 30, 2025 | 5.98% |
| Mar 31, 2025 | 4.21% |
| Dec 31, 2024 | 2.34% |
| Sep 30, 2024 | -12.99% |
| Jun 30, 2024 | -15.24% |
| Mar 31, 2024 | -16.74% |
| Dec 31, 2023 | -20.95% |
| Sep 30, 2023 | -13.33% |
| Jun 30, 2023 | -19.93% |
| Mar 31, 2023 | -24.64% |
| Dec 31, 2022 | -19.34% |
| Sep 30, 2022 | -22.23% |
| Jun 30, 2022 | -27.98% |
| Mar 31, 2022 | -20.01% |
| Dec 31, 2021 | -19.53% |
| Sep 30, 2021 | -16.91% |
Glass House Brands Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=GLAS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=GLAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();