Grown Rogue International (GRUSF) Selling, General & Administrative (2009 - 2026)
Powered by 
Analysis
Grown Rogue International (GRUSF) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.71 Bn | 279.71 Bn | 7.85 Bn | - |
| 2 | British American Tobacco p.l.c | 132.02 Bn | 108.39 Bn | - | - |
| 3 | Altria | 126.24 Bn | 113.17 Bn | 3.94 Bn | - |
| 4 | Curaleaf Holdings | 2.41 Bn | 2.02 Bn | 170.48 Mn | 131.03 Mn |
| 5 | Trulieve Cannabis | 2.09 Bn | 709.65 Mn | 162.29 Mn | 101.77 Mn |
| 6 | RLX Technology | 1.96 Bn | -1.81 Bn | 52.74 Mn | 10.96 Mn |
| 7 | Green Thumb Industries | 1.43 Bn | 200.91 Mn | 146.79 Mn | 121.70 Mn |
| 8 | Cronos | 1.36 Bn | -1.92 Bn | 28.45 Mn | 10.80 Mn |
| 9 | Turning Point Brands | 1.29 Bn | 394.40 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Grown Rogue International | 84.98 Mn | -13,094.04 Bn | 5.37 Mn | 4.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.32 Mn |
| Mar 31, 2026 | 3.61 Mn |
| Dec 31, 2025 | -7,252.04 Bn |
| Sep 30, 2025 | 2,568.41 Bn |
| Jun 30, 2025 | 2.68 Mn |
| Mar 31, 2025 | 2.53 Mn |
| Dec 31, 2024 | -7,418.53 Bn |
| Sep 30, 2024 | 2,390.67 Bn |
| Jun 30, 2024 | 3,008.54 Bn |
| Mar 31, 2024 | 2.02 Mn |
| Dec 31, 2023 | 1.44 Mn |
| Oct 31, 2023 | 1,881.39 Bn |
| Jul 31, 2023 | 1,641.73 Bn |
| Apr 30, 2023 | 1.41 Mn |
| Jan 31, 2023 | 1.54 Mn |
| Apr 30, 2022 | 1.47 Mn |
| Jan 31, 2022 | 1.60 Mn |
| Oct 31, 2021 | 1.32 Mn |
| Jul 31, 2021 | 1.22 Mn |
| Apr 30, 2021 | 775,919.00 |
API Access
Grown Rogue International 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=GRUSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "GRUSF", "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=GRUSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();