Organigram Global (OGI) Times Interest Earned (2018 - 2021)
Organigram Global's (OGI) Times Interest Earned came in at -873.64 for FY2023 (year ended Sep 30, 2023).
Analysis
Organigram Global (OGI) Times Interest Earned (2018 - 2021) Analysis & Trends
Since FY2018, Organigram Global has reported Times Interest Earned for 6 fiscal years.
- The FY2023 figure stands as the lowest annual Times Interest Earned in data going back to FY2018.
- Business Quant data shows OGI's Times Interest Earned at -100.59 in FY2022, -165.34 in FY2021, -24.22 in FY2020 and 0.57 in FY2019 (-84.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (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 | -29.04 |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | 3.28 |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | - |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | 2.14 |
| 10 | Organigram Global | 134.46 Mn | 134.46 Mn | 39.15 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2021 | -165.34 |
| May 31, 2021 | -28.02 |
| Feb 28, 2021 | -36.59 |
| Nov 30, 2020 | -17.77 |
| May 31, 2020 | -44.69 |
| Feb 29, 2020 | -2.05 |
| May 31, 2019 | -29.78 |
| Feb 28, 2019 | -0.41 |
| May 31, 2018 | 1.82 |
API Access
Organigram Global Times Interest Earned 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=times-interest-earned&ticker=OGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();