Cronos (CRON) Non Operating Interest Expenses (2017 - 2020)
Cronos' Non Operating Interest Expenses came in at -$40 million for FY2020, compared with -$32.21 million in FY2019.
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Analysis
Cronos (CRON) Non Operating Interest Expenses (2017 - 2020) Analysis & Trends
Going back to FY2016, Cronos' Non Operating Interest Expenses data covers 4 years.
- Per Business Quant, earlier years put Non Operating Interest Expenses at -$32.21 million in FY2019, $97,121 in FY2017 (-44.6%) and $175,217 in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 310.09 Bn | 289.08 Bn | 7.85 Bn | - |
| 2 | British American Tobacco p.l.c | 143.09 Bn | 119.75 Bn | - | - |
| 3 | Altria | 130.85 Bn | 117.83 Bn | 3.94 Bn | - |
| 4 | RLX Technology | 2.40 Bn | -1.35 Bn | 52.74 Mn | - |
| 5 | Curaleaf Holdings | 2.08 Bn | 1.70 Bn | 170.48 Mn | - |
| 6 | Trulieve Cannabis | 1.86 Bn | 595.66 Mn | 148.02 Mn | 11.98 Mn |
| 7 | Verano Holdings | 1.83 Bn | 1.48 Bn | 100.04 Mn | - |
| 8 | Green Thumb Industries | 1.49 Bn | 262.73 Mn | 146.79 Mn | 5.47 Mn |
| 9 | Cronos | 1.24 Bn | -1.90 Bn | 32.28 Mn | - |
| 10 | Turning Point Brands | 1.10 Bn | 187.99 Mn | 85.18 Mn | 4.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -40.00 Mn |
| Dec 31, 2019 | -524,000.00 |
| Sep 30, 2019 | -6.08 Mn |
| Jun 30, 2019 | -3.37 Mn |
| Mar 31, 2019 | -22.23 Mn |
| Dec 31, 2018 | 121,000.00 |
| Sep 30, 2018 | -62,000.00 |
| Mar 31, 2018 | -22,000.00 |
| Sep 30, 2017 | -22,000.00 |
| Mar 31, 2017 | -150,000.00 |
API Access
Cronos 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=CRON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CRON", "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=CRON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();