Organigram Global (OGI) Non-cash Items (2018 - 2025)
Organigram Global's Non-cash Items came in at $39.15 million for fiscal Q4 2025 (quarter ended Dec 31, 2025).
Analysis
Organigram Global (OGI) Non-cash Items (2018 - 2025) Analysis & Trends
For FY2025 (ended Dec 31, 2025), Organigram Global's Non-cash Items was $67.06 million.
- Going back by fiscal year, Non-cash Items was $35.62 million in FY2024, -$24.67 million in FY2023, $21.06 million in FY2022 and -$5.13 million in FY2021.
- The fiscal Q4 2025 figure represents the highest quarterly Non-cash Items in data going back to fiscal Q3 2018.
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 |
|---|---|
| Dec 31, 2025 | 39.15 Mn |
| Nov 30, 2021 | -5.13 Mn |
| May 31, 2021 | -3.06 Mn |
| Feb 28, 2021 | -16.50 Mn |
| Nov 30, 2020 | -3.84 Mn |
| May 31, 2020 | -26.35 Mn |
| Feb 29, 2020 | 7.41 Mn |
| May 31, 2019 | 12.28 Mn |
| Feb 28, 2019 | 16.04 Mn |
| Dec 31, 2018 | -4.01 Mn |
| May 31, 2018 | 1.64 Mn |
API Access
Organigram Global Non-cash Items 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-cash-items&ticker=OGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();