CordovaCann (LVRLF) Interest Expenses (2009 - 2022)
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Analysis
CordovaCann (LVRLF) Interest Expenses (2009 - 2022) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 104,071.02 |
| Jun 30, 2021 | 11,996.27 |
| Mar 31, 2021 | 180,609.55 |
| Jun 30, 2020 | 189,482.63 |
| Mar 31, 2020 | 87,973.05 |
| Dec 31, 2019 | 75,318.06 |
| Sep 30, 2019 | 64,241.59 |
| Jun 30, 2019 | 24,655.28 |
| Mar 31, 2019 | 4,682.33 |
| Jun 30, 2018 | -24.81 |
| Sep 30, 2017 | 11,863.01 |
| Jun 30, 2017 | 10,792.07 |
| Mar 31, 2017 | 10,640.18 |
| Dec 31, 2016 | 10,279.82 |
| Sep 30, 2016 | 10,180.38 |
| Jun 30, 2016 | 9,991.61 |
| Mar 31, 2016 | 9,133.83 |
| Dec 31, 2015 | 9,105.95 |
| Sep 30, 2015 | 9,000.47 |
| Jun 30, 2015 | 9,264.63 |
API Access
CordovaCann 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=LVRLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "LVRLF", "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=LVRLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();