Woodbridge Liquidation Trust (WBQNL) Cash & Current Investments (2019 - 2026)
Analysis
Woodbridge Liquidation Trust (WBQNL) Cash & Current Investments (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.01 Mn |
| Mar 31, 2026 | 57.59 Mn |
| Dec 31, 2025 | 59.22 Mn |
| Sep 30, 2025 | 59.50 Mn |
| Jun 30, 2025 | 60.23 Mn |
| Mar 31, 2025 | 60.73 Mn |
| Dec 31, 2024 | 57.54 Mn |
| Sep 30, 2024 | 58.42 Mn |
| Jun 30, 2024 | 56.01 Mn |
| Mar 31, 2024 | 1.79 Mn |
| Dec 31, 2023 | 15.28 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 |
API Access
Woodbridge Liquidation Trust Cash & Current Investments 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-current-investments&ticker=WBQNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-current-investments", "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-current-investments&ticker=WBQNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();