Organigram Global (OGI) Other Operating Expenses (2018 - 2021)
Organigram Global (OGI) posted Other Operating Expenses of $2.43 million for FY2025 (year ended Dec 31, 2025).
Analysis
Organigram Global (OGI) Other Operating Expenses (2018 - 2021) Analysis & Trends
Since FY2018, Organigram Global has reported Other Operating Expenses for 8 fiscal years.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 93.8% (FY2020 to FY2025).
- Annual Other Operating Expenses has run from a low of -$36,760 in FY2024 to a high of $14.35 million in FY2023 over five years.
- Business Quant data shows OGI's Other Operating Expenses at -$36,760 in FY2024, $14.35 million in FY2023, $13.26 million in FY2022 and $4.66 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 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 |
| 10 | Organigram Global | 134.46 Mn | 134.46 Mn | 39.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2021 | 4.66 Mn |
| May 31, 2021 | 4.11 Mn |
| Feb 28, 2021 | 3.14 Mn |
| Nov 30, 2020 | 36,000.00 |
| May 31, 2020 | 4.30 Mn |
| Feb 29, 2020 | 5.48 Mn |
| Nov 25, 2019 | 145,000.00 |
| May 31, 2019 | 363,000.00 |
| Feb 28, 2019 | 646,000.00 |
| Dec 31, 2018 | -21.33 Mn |
| Aug 31, 2018 | 2.09 Mn |
| May 31, 2018 | 1.49 Mn |
API Access
Organigram Global Other Operating 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=other-operating-expenses&ticker=OGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "OGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();