Grown Rogue International (GRUSF) Gains (Losses) on Sale of Assets & Investments (2015 - 2025)
Analysis
Grown Rogue International (GRUSF) Gains (Losses) on Sale of Assets & Investments (2015 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gains on Sales (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 | - |
| 5 | Trulieve Cannabis | 2.09 Bn | 709.65 Mn | 162.29 Mn | -403.33 Mn |
| 6 | RLX Technology | 1.96 Bn | -1.81 Bn | 52.74 Mn | 402,000.00 |
| 7 | Green Thumb Industries | 1.43 Bn | 200.91 Mn | 146.79 Mn | - |
| 8 | Cronos | 1.36 Bn | -1.92 Bn | 28.45 Mn | - |
| 9 | Turning Point Brands | 1.29 Bn | 394.40 Mn | 93.70 Mn | - |
| 10 | Grown Rogue International | 84.98 Mn | -13,094.04 Bn | 5.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 234.44 Bn |
| Dec 31, 2024 | 537.95 Bn |
| Sep 30, 2024 | -487.89 Bn |
| Mar 31, 2024 | -2.18 Bn |
| Dec 31, 2023 | -87.70 Bn |
| Oct 31, 2023 | -13.88 Bn |
| Jan 31, 2023 | -168,144.00 |
| Apr 30, 2022 | -19,082.00 |
| Jan 31, 2022 | -6.25 Bn |
| Oct 31, 2021 | -7.54 Bn |
| Jul 31, 2021 | -422,867.00 |
| Apr 30, 2021 | 253,300.00 |
| Jan 31, 2021 | 302,808.00 |
| Oct 31, 2020 | -9.98 Bn |
| Jul 31, 2020 | 69,064.00 |
| Apr 30, 2020 | -627,287.00 |
| Jan 31, 2020 | 20,918.00 |
| Jan 31, 2018 | -9.10 Bn |
| Feb 29, 2016 | -49,332.61 |
| Nov 30, 2015 | 91,007.12 |
API Access
Grown Rogue International Gains (Losses) on Sale of Assets & Investments 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-investment-income&ticker=GRUSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-investment-income", "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=non-operating-investment-income&ticker=GRUSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();