Green Thumb Industries (GTBIF) Selling, General & Administrative (2019 - 2026)
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Analysis
Green Thumb Industries (GTBIF) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 310.09 Bn | 289.08 Bn | 7.85 Bn | 2.99 Bn |
| 2 | British American Tobacco p.l.c | 143.09 Bn | 119.75 Bn | - | - |
| 3 | Altria | 130.85 Bn | 117.83 Bn | 3.94 Bn | 625.00 Mn |
| 4 | RLX Technology | 2.40 Bn | -1.35 Bn | 52.74 Mn | 10.96 Mn |
| 5 | Curaleaf Holdings | 2.08 Bn | 1.70 Bn | 170.48 Mn | 131.03 Mn |
| 6 | Trulieve Cannabis | 1.86 Bn | 595.66 Mn | 148.02 Mn | 87.85 Mn |
| 7 | Verano Holdings | 1.83 Bn | 1.48 Bn | 100.04 Mn | 84.51 Mn |
| 8 | Green Thumb Industries | 1.49 Bn | 262.73 Mn | 146.79 Mn | 121.70 Mn |
| 9 | Cronos | 1.24 Bn | -1.90 Bn | 32.28 Mn | 12.00 Mn |
| 10 | Turning Point Brands | 1.10 Bn | 187.99 Mn | 85.18 Mn | 75.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 121.70 Mn |
| Jun 30, 2026 | 117.91 Mn |
| Mar 31, 2026 | 102.91 Mn |
| Dec 31, 2025 | 122.29 Mn |
| Sep 30, 2025 | 107.29 Mn |
| Jun 30, 2025 | 106.82 Mn |
| Mar 31, 2025 | 100.79 Mn |
| Dec 31, 2024 | 100.96 Mn |
| Sep 30, 2024 | 104.97 Mn |
| Jun 30, 2024 | 96.50 Mn |
| Mar 31, 2024 | 74.26 Mn |
| Dec 31, 2023 | 92.35 Mn |
| Sep 30, 2023 | 84.78 Mn |
| Jun 30, 2023 | 84.22 Mn |
| Mar 31, 2023 | 80.52 Mn |
| Dec 31, 2022 | 79.99 Mn |
| Sep 30, 2022 | 82.48 Mn |
| Jun 30, 2022 | 63.54 Mn |
| Mar 31, 2022 | 68.39 Mn |
| Dec 31, 2021 | 74.25 Mn |
API Access
Green Thumb Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=GTBIF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "GTBIF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=GTBIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();