Organigram Global (OGI) Non Operating Interest Expenses (2018 - 2021)
Organigram Global's Non Operating Interest Expenses was $223,248 in FY2023 (year ended Sep 30, 2023).
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Analysis
Organigram Global (OGI) Non Operating Interest Expenses (2018 - 2021) Analysis & Trends
From FY2018 onward, Organigram Global has reported Non Operating Interest Expenses for 6 fiscal years.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -51.0% (FY2018 to FY2023).
- The FY2023 figure marks the lowest annual Non Operating Interest Expenses in data going back to FY2018.
- Per Business Quant data, Non Operating Interest Expenses in earlier fiscal years was $337,404 in FY2022 (-85.5%), $2.33 million in FY2021 (-47.8%), $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) | Non Operating Interest Expenses (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 | 12.76 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 | 5.47 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 | 7.80 Mn |
| 10 | Organigram Global | 113.20 Mn | 113.20 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 |
| Nov 30, 2019 | 865,000.00 |
| May 31, 2019 | 379,000.00 |
| Feb 28, 2019 | 4.31 Mn |
| May 31, 2018 | 4.26 Mn |
API Access
Organigram Global Non Operating 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=non-operating-interest-expenses&ticker=OGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();