Zivo Bioscience (ZIVO) Amortization - Intangibles (2012 - 2023)
Analysis
Zivo Bioscience (ZIVO) Amortization - Intangibles (2012 - 2023) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -4,882.00 |
| Sep 30, 2023 | -219,798.00 |
| Jun 30, 2023 | -214,913.00 |
| Mar 31, 2019 | -374,608.00 |
| Dec 31, 2018 | -381,272.00 |
| Sep 30, 2018 | -279,372.00 |
| Jun 30, 2018 | -147,920.00 |
| Mar 31, 2018 | -94,753.00 |
| Dec 31, 2017 | -147,090.00 |
| Sep 30, 2017 | -121,618.00 |
| Jun 30, 2017 | -106,468.00 |
| Sep 30, 2016 | -170,757.00 |
| Jun 30, 2016 | -507,187.00 |
| Sep 30, 2015 | -450,006.00 |
| Jun 30, 2015 | -446,069.00 |
| Sep 30, 2014 | -467,671.00 |
| Jun 30, 2014 | -338,621.00 |
| Sep 30, 2013 | -464,012.00 |
| Jun 30, 2013 | -286,536.00 |
| Sep 30, 2012 | -195,905.00 |
API Access
Zivo Bioscience Amortization - Intangibles 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=amortization-intangibles&ticker=ZIVO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "ZIVO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=ZIVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();