Baijiayun (RTCJF) Interest Expenses (2009 - 2022)
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Analysis
Baijiayun (RTCJF) Interest Expenses (2009 - 2022) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -161,000.00 |
| Mar 31, 2022 | -167,000.00 |
| Jun 30, 2021 | -213,000.00 |
| Mar 31, 2021 | -240,000.00 |
| Dec 31, 2020 | 2.29 Mn |
| Sep 30, 2020 | -330,000.00 |
| Jun 30, 2020 | -317,000.00 |
| Mar 31, 2020 | -313,000.00 |
| Dec 31, 2019 | 2.21 Mn |
| Sep 30, 2019 | -313,000.00 |
| Jun 30, 2019 | -327,000.00 |
| Mar 31, 2019 | -326,000.00 |
| Dec 31, 2018 | 2.47 Mn |
| Sep 30, 2018 | -403,000.00 |
| Jun 30, 2018 | -341,000.00 |
| Mar 31, 2018 | -351,000.00 |
| Dec 31, 2017 | 2.50 Mn |
| Sep 30, 2017 | -337,000.00 |
| Jun 30, 2017 | -355,000.00 |
| Mar 31, 2017 | -355,000.00 |
API Access
Baijiayun Interest Expenses 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=interest-expenses&ticker=RTCJF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=RTCJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();