Organigram Global (OGI) Interest Expenses (2018 - 2021)
Organigram Global (OGI) reported Interest Expenses of $223,248 for FY2023 (year ended Sep 30, 2023).
Analysis
Organigram Global (OGI) Interest Expenses (2018 - 2021) Analysis & Trends
Dating back to FY2018, Organigram Global's Interest Expenses record includes 6 fiscal years.
- Interest Expenses has a five-year compound annual growth rate of -51.0% (FY2018 to FY2023).
- Five-year annual Interest Expenses spans a low of $83,000 in FY2021 and a high of $7.3 million in FY2019.
- According to Business Quant data, Interest Expenses came in at $337,404 in FY2022, $83,000 in FY2021, $4.47 million in FY2020 (-38.8%) and $7.3 million in FY2019 (-7.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 12.76 Mn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 6.10 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 | 7.80 Mn |
| 10 | Organigram Global | 134.46 Mn | 134.46 Mn | 39.15 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2021 | 83,000.00 |
| May 31, 2021 | 436,000.00 |
| Feb 28, 2021 | 800,000.00 |
| Nov 30, 2020 | 1.59 Mn |
| May 31, 2020 | 2.22 Mn |
| Feb 29, 2020 | 1.97 Mn |
| May 31, 2019 | 379,000.00 |
| Feb 28, 2019 | 4.31 Mn |
| May 31, 2018 | 4.26 Mn |
API Access
Organigram Global Interest 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=interest-expenses&ticker=OGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();