Organigram Global (OGI) Operating Expenses (2018 - 2025)
Organigram Global's Operating Expenses came in at $33.77 million for fiscal Q4 2025 (quarter ended Dec 31, 2025).
Analysis
Organigram Global (OGI) Operating Expenses (2018 - 2025) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Organigram Global's Operating Expenses was $79.87 million.
- Operating Expenses carries a five-year compound annual growth rate of 289.6% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $60.49 million in FY2024 (-72.9%), $223.22 million in FY2023, $58.77 million in FY2022 and $14.33 million in FY2021.
- The fiscal Q4 2025 figure represents the highest quarterly Operating Expenses since fiscal Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | - |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | 21.00 Mn |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 165.69 Mn |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | -33.52 Mn |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | 532.81 Mn |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 117.91 Mn |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 21.05 Mn |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 76.99 Mn |
| 10 | Organigram Global | 146.56 Mn | 146.56 Mn | 39.15 Mn | 33.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 33.77 Mn |
| Nov 30, 2021 | 14.33 Mn |
| May 31, 2021 | 14.33 Mn |
| Feb 28, 2021 | 12.08 Mn |
| Nov 30, 2020 | 11.54 Mn |
| May 31, 2020 | 49.09 Mn |
| Feb 29, 2020 | 15.31 Mn |
| Nov 25, 2019 | 33.22 Mn |
| May 31, 2019 | 11.11 Mn |
| Feb 28, 2019 | 9.73 Mn |
| Dec 31, 2018 | -10.34 Mn |
| May 31, 2018 | 3.95 Mn |
API Access
Organigram Global 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=operating-expenses&ticker=OGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();