Woodbridge Liquidation Trust (WBQNL) Cash & Equivalents (2019 - 2024)
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Analysis
Woodbridge Liquidation Trust (WBQNL) Cash & Equivalents (2019 - 2024) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 57.81 Mn |
| Dec 31, 2023 | 56.02 Mn |
| Sep 27, 2023 | 58.92 Mn |
| Jun 30, 2023 | 25.70 Mn |
| Mar 31, 2023 | 51.01 Mn |
| Dec 31, 2022 | 27.87 Mn |
| Sep 30, 2022 | 31.87 Mn |
| Jun 30, 2022 | 96.81 Mn |
| Mar 31, 2022 | 34.39 Mn |
| Dec 31, 2021 | 53.99 Mn |
| Sep 30, 2021 | 80.27 Mn |
| Jun 30, 2021 | 45.37 Mn |
| Mar 31, 2021 | 66.70 Mn |
| Dec 31, 2020 | 126.60 Mn |
| Sep 30, 2020 | 83.23 Mn |
| Jun 30, 2020 | 86.07 Mn |
| Mar 31, 2020 | 102.51 Mn |
| Dec 31, 2019 | 98.83 Mn |
| Jun 30, 2019 | 35.00 Mn |
| Mar 31, 2019 | 35.68 Mn |
API Access
Woodbridge Liquidation Trust Cash & Equivalents 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=cash-and-equivalents&ticker=WBQNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "WBQNL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=WBQNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();