Chi Special Acquisition (GDST) Total Non-Current Liabilities (2022 - 2023)
Chi Special Acquisition's Total Non-Current Liabilities was $63.21 million in fiscal Q1 2024 (quarter ended Jun 30, 2023), up 24.4% from $50.8 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Chi Special Acquisition (GDST) Total Non-Current Liabilities (2022 - 2023) Analysis & Trends
At the end of FY2023 (ended Mar 31, 2023), Total Non-Current Liabilities at Chi Special Acquisition came in at $60.53 million, up 25.4% from FY2022.
- In earlier fiscal years, Total Non-Current Liabilities was $48.28 million in FY2022.
- Per Business Quant data, GDST's Total Non-Current Liabilities in the three fiscal quarters before Q1 2024 was $60.53 million (Q4 2023), $56.85 million (Q3 2023) and $53.52 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 52.77 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 25.35 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 7.37 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 333.26 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 10.41 Bn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 433.59 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 2.19 Bn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 673.40 Mn |
| 10 | Chi Special Acquisition | 23.33 Mn | 23.33 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 63.21 Mn |
| Mar 31, 2023 | 60.53 Mn |
| Dec 31, 2022 | 56.85 Mn |
| Sep 30, 2022 | 53.52 Mn |
| Jun 30, 2022 | 50.80 Mn |
| Mar 31, 2022 | 48.28 Mn |
API Access
Chi Special Acquisition Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GDST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GDST", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=GDST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();