Baijiayun (RTCJF) Buildings (2009 - 2021)
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Analysis
Baijiayun (RTCJF) Buildings (2009 - 2021) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 11.85 Mn |
| Mar 31, 2021 | 11.69 Mn |
| Dec 31, 2020 | 11.75 Mn |
| Jun 30, 2020 | 9.73 Mn |
| Dec 31, 2019 | 9.78 Mn |
| Sep 30, 2019 | 9.56 Mn |
| Dec 31, 2018 | 9.93 Mn |
| Mar 31, 2018 | 10.89 Mn |
| Dec 31, 2017 | 10.46 Mn |
| Sep 30, 2016 | 10.24 Mn |
| Mar 31, 2016 | 12.25 Mn |
| Dec 31, 2015 | 10.53 Mn |
| Sep 30, 2014 | 13.90 Mn |
| Mar 31, 2014 | 13.65 Mn |
| Dec 31, 2013 | 16.69 Mn |
| Sep 30, 2013 | 7.68 Mn |
| Jun 30, 2013 | 7.62 Mn |
| Mar 31, 2013 | 7.49 Mn |
| Dec 31, 2012 | 7.42 Mn |
| Sep 30, 2012 | 7.33 Mn |
API Access
Baijiayun Buildings 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=buildings&ticker=RTCJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "RTCJF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=RTCJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();