Organigram Global (OGI) Operating Margin (2018 - 2025)
Organigram Global (OGI) recorded Operating Margin of 6.14% in fiscal Q4 2025 (quarter ended Dec 31, 2025).
Analysis
Organigram Global (OGI) Operating Margin (2018 - 2025) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Organigram Global reported Operating Margin of -4.25%.
- Annual Operating Margin has a five-year change of +163.40 percentage points (FY2020 to FY2025).
- Across earlier fiscal years, Operating Margin came in at -21.74% in FY2024 (+140.94 pp), -162.69% in FY2023, -29.59% in FY2022 and -45.17% in FY2021.
- The fiscal Q4 2025 figure is the highest quarterly Operating Margin since fiscal Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 302.14 Bn | 283.71 Bn | 7.66 Bn | 40.48% |
| 2 | British American Tobacco p.l.c | 129.64 Bn | 108.78 Bn | - | - |
| 3 | Altria | 115.45 Bn | 101.65 Bn | 3.82 Bn | 51.32% |
| 4 | Curaleaf Holdings | 2.87 Bn | 2.47 Bn | 169.91 Mn | 1.24% |
| 5 | RLX Technology | 2.63 Bn | -932.13 Mn | 52.74 Mn | 12.90% |
| 6 | Trulieve Cannabis | 2.37 Bn | 989.63 Mn | 162.29 Mn | -136.75% |
| 7 | Green Thumb Industries | 1.53 Bn | 385.54 Mn | 137.87 Mn | 6.51% |
| 8 | Cronos | 1.26 Bn | -1.96 Bn | 28.45 Mn | 10.49% |
| 9 | Turning Point Brands | 1.21 Bn | 343.16 Mn | 93.70 Mn | 11.69% |
| 10 | Organigram Global | 146.56 Mn | 146.56 Mn | 39.15 Mn | 6.14% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.14% |
| Nov 30, 2021 | -45.17% |
| May 31, 2021 | -60.10% |
| Feb 28, 2021 | -199.90% |
| Nov 30, 2020 | -145.95% |
| May 31, 2020 | -551.07% |
| Feb 29, 2020 | -17.34% |
| May 31, 2019 | -45.61% |
| Feb 28, 2019 | -6.56% |
| Dec 31, 2018 | 498.63% |
| May 31, 2018 | 226.06% |
API Access
Organigram Global Operating Margin 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-margin&ticker=OGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();