Avricore Health (AVCRF) Selling, General & Administrative (2009 - 2026)
Analysis
Avricore Health (AVCRF) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69,894.58 |
| Sep 30, 2025 | 86,140.40 |
| Jun 30, 2025 | 75,780.53 |
| Mar 31, 2025 | 88,331.38 |
| Sep 30, 2024 | 57,558.62 |
| Jun 30, 2024 | 71,850.64 |
| Mar 31, 2024 | 102,479.15 |
| Dec 31, 2023 | 53,776.08 |
| Sep 30, 2023 | 59,465.58 |
| Jun 30, 2023 | 75,770.37 |
| Mar 31, 2023 | 60,987.97 |
| Dec 31, 2022 | 43,324.76 |
| Sep 30, 2022 | 64,739.45 |
| Jun 30, 2022 | 57,281.97 |
| Mar 31, 2022 | 26,738.74 |
| Dec 31, 2021 | 39,529.56 |
| Sep 30, 2021 | 30,210.59 |
| Jun 30, 2021 | 36,850.34 |
| Mar 31, 2021 | 39,263.19 |
| Dec 31, 2020 | 24,288.02 |
API Access
Avricore Health 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=AVCRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "AVCRF", "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=AVCRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();