Baijiayun (RTCJF) Assets (2009 - 2026)
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Analysis
Baijiayun (RTCJF) Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.53 Mn |
| Jun 30, 2025 | 56.09 Mn |
| Dec 31, 2024 | 72.39 Mn |
| Jun 30, 2024 | 61.20 Mn |
| Dec 31, 2023 | 156.37 Mn |
| Jun 30, 2023 | 139.29 Mn |
| Jun 30, 2022 | 108.91 Mn |
| Mar 31, 2022 | 75.29 Mn |
| Dec 31, 2021 | 74.65 Mn |
| Jun 30, 2021 | 84.88 Mn |
| Mar 31, 2021 | 86.56 Mn |
| Dec 31, 2020 | 68.33 Mn |
| Sep 30, 2020 | 65.78 Mn |
| Jun 30, 2020 | 87.33 Mn |
| Mar 31, 2020 | 65.69 Mn |
| Dec 31, 2019 | 66.70 Mn |
| Sep 30, 2019 | 64.94 Mn |
| Jun 30, 2019 | 67.08 Mn |
| Mar 31, 2019 | 67.80 Mn |
| Dec 31, 2018 | 66.11 Mn |
API Access
Baijiayun Assets 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=assets&ticker=RTCJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=RTCJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();