CordovaCann (LVRLF) Selling, General & Administrative (2009 - 2022)
Analysis
CordovaCann (LVRLF) Selling, General & Administrative (2009 - 2022) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 193,840.69 |
| Jun 30, 2021 | 228,755.70 |
| Mar 31, 2021 | 97,808.74 |
| Jun 30, 2020 | 53,560.21 |
| Mar 31, 2020 | 33,235.57 |
| Dec 31, 2019 | 26,809.38 |
| Sep 30, 2019 | 43,256.04 |
| Jun 30, 2019 | 143,814.97 |
| Mar 31, 2019 | 146,003.31 |
| Dec 31, 2018 | 103,682.54 |
| Sep 30, 2018 | 62,644.98 |
| Jun 30, 2018 | 18,657.30 |
| Mar 31, 2018 | 53,425.27 |
| Dec 31, 2017 | 22,576.03 |
| Jun 30, 2017 | 3,888.15 |
| Dec 31, 2016 | 179.93 |
| Jun 30, 2016 | -7.76 |
| Mar 31, 2016 | 283.41 |
| Sep 30, 2015 | 4,211.19 |
| Jun 30, 2015 | 6,485.81 |
API Access
CordovaCann Selling, General & Administrative 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=selling-general-and-administrative&ticker=LVRLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LVRLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();