Organigram Global (OGI) Asset Writedowns and Impairment (2020 - 2021)
Organigram Global's Asset Writedowns and Impairment was $122.57 million in FY2023 (year ended Sep 30, 2023).
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Analysis
Organigram Global (OGI) Asset Writedowns and Impairment (2020 - 2021) Analysis & Trends
From FY2019 onward, Organigram Global has reported Asset Writedowns and Impairment for 5 fiscal years.
- Asset Writedowns and Impairment shows a four-year compound annual growth rate of 219.3% (FY2019 to FY2023).
- The FY2023 figure marks the highest annual Asset Writedowns and Impairment in data going back to FY2019.
- Per Business Quant data, Asset Writedowns and Impairment in earlier fiscal years was $3.54 million in FY2022, $250,000 in FY2021, $31.81 million in FY2020 and $1.18 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 292.24 Bn | 273.81 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 121.70 Bn | 100.85 Bn | - |
| 3 | Altria | 112.46 Bn | 98.66 Bn | 3.82 Bn |
| 4 | Curaleaf Holdings | 2.67 Bn | 2.27 Bn | 169.91 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn |
| 6 | Trulieve Cannabis | 2.06 Bn | 674.09 Mn | 162.29 Mn |
| 7 | Green Thumb Industries | 1.30 Bn | 155.26 Mn | 137.87 Mn |
| 8 | Cronos | 1.19 Bn | -2.03 Bn | 28.45 Mn |
| 9 | Turning Point Brands | 1.12 Bn | 246.72 Mn | 93.70 Mn |
| 10 | Organigram Global | 127.74 Mn | 127.74 Mn | 39.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2021 | 250,000.00 |
| May 31, 2021 | 800,000.00 |
| Feb 28, 2021 | 500,000.00 |
| May 31, 2020 | 39.14 Mn |
API Access
Organigram Global Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=OGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=OGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();