Organigram Global (OGI) Price to Book (2019 - 2025)
Organigram Global's Price to Book came in at 1.09 for fiscal Q4 2025 (quarter ended Sep 30, 2025), up 25.4% from 0.87 a year earlier.
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Analysis
Organigram Global (OGI) Price to Book (2019 - 2025) Analysis & Trends
Going back to fiscal Q3 2019, Organigram Global's Price to Book data covers 12 quarters.
- Going back by fiscal year, Price to Book was 0.87 in FY2024 (+63.1%), 0.53 in FY2023, 0.87 in FY2022 and 1.26 in FY2021 (+82.7%).
- The fiscal Q4 2025 figure represents the highest quarterly Price to Book since fiscal Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 6 | RLX Technology | 1.96 Bn | -1.81 Bn | 52.74 Mn |
| 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 | Organigram Global | 113.20 Mn | 113.20 Mn | 39.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 1.09 |
| Sep 30, 2024 | 0.87 |
| Sep 30, 2023 | 0.53 |
| Aug 31, 2022 | 0.87 |
| Nov 30, 2021 | 1.26 |
| Aug 31, 2021 | 2.10 |
| May 31, 2021 | 1.00 |
| Feb 28, 2021 | 1.77 |
| Nov 30, 2020 | 0.69 |
| Aug 31, 2020 | 0.86 |
| May 31, 2020 | 0.85 |
| Feb 29, 2020 | 0.91 |
| Nov 30, 2019 | 1.28 |
| Aug 31, 2019 | 2.67 |
| May 31, 2019 | 2.69 |
API Access
Organigram Global Price to Book 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=price-to-book&ticker=OGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();