Chi Special Acquisition (GDST) Non-Current Assets (2021 - 2026)
Chi Special Acquisition's Non-Current Assets came in at $5.94 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 68.3% from $18.73 million a year earlier but up 2.6% from the prior quarter.
Chi Special Acquisition (GDST) Non-Current Assets (2021 - 2026) Analysis & Trends
Going back to fiscal Q4 2021, Chi Special Acquisition's Non-Current Assets data covers 18 quarters.
- Non-Current Assets has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 148.7% (FY2021 to FY2026).
- Going back by fiscal year, Non-Current Assets was $18.73 million in FY2025 (-66.4%), $55.74 million in FY2024 (-7.7%), $60.39 million in FY2023 (+3.5%) and $58.36 million in FY2022.
- The five-year range for quarterly Non-Current Assets is $5.35 million (fiscal Q2 2026) to $61.79 million (fiscal Q2 2024).
- Year-over-year, Non-Current Assets has declined for three consecutive quarters, with an average decline of 59.4% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in fiscal Q1 2026 (growth of 6.1%), and the weakest in fiscal Q2 2026 (a decline of 70.8%).
- Business Quant data shows GDST's Non-Current Assets at $5.79 million (Q3 2026), $5.35 million (Q2 2026) and $19.08 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | - |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 12.03 Bn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.53 Bn |
| 10 | Chi Special Acquisition | 23.33 Mn | 23.33 Mn | - | 5.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.94 Mn |
| Dec 31, 2025 | 5.79 Mn |
| Sep 30, 2025 | 5.35 Mn |
| Jun 30, 2025 | 19.08 Mn |
| Mar 31, 2025 | 18.73 Mn |
| Dec 31, 2024 | 18.54 Mn |
| Sep 30, 2024 | 18.29 Mn |
| Jun 30, 2024 | 17.98 Mn |
| Mar 31, 2024 | 55.74 Mn |
| Dec 31, 2023 | 54.65 Mn |
| Sep 30, 2023 | 61.79 Mn |
| Jun 30, 2023 | 61.17 Mn |
| Mar 31, 2023 | 60.39 Mn |
| Dec 31, 2022 | 59.22 Mn |
| Sep 30, 2022 | 58.60 Mn |
| Jun 30, 2022 | 58.45 Mn |
| Mar 31, 2022 | 58.36 Mn |
| Mar 31, 2021 | 62,500.00 |
Chi Special Acquisition Non-Current 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=non-current-assets&ticker=GDST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GDST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();