Chi Special Acquisition (GDST) Assets (2021 - 2026)
Chi Special Acquisition (GDST) posted Assets of $5.96 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 68.7% from $19.06 million a year earlier but up 2.0% from the prior quarter.
Chi Special Acquisition (GDST) Assets (2021 - 2026) Analysis & Trends
Since fiscal Q4 2021, Chi Special Acquisition has reported Assets for 18 quarters.
- Annual Assets has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 127.0% (FY2021 to FY2026).
- In prior fiscal years, Chi Special Acquisition's Assets was $19.06 million in FY2025 (-65.9%), $55.83 million in FY2024 (-7.6%), $60.45 million in FY2023 (+1.9%) and $59.33 million in FY2022.
- Quarterly Assets has run from a low of $5.75 million in fiscal Q2 2026 to a high of $61.82 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Assets has declined in each of the last three quarters, with an average decline of 59.2% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q1 2026, with growth of 4.7%; the weakest was fiscal Q2 2025, with a decline of 70.2%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $5.84 million (Q3 2026), $5.75 million (Q2 2026) and $19.34 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 175.88 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 130.10 Bn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 49.89 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 15.39 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 414.46 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 20.08 Bn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 494.05 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 12.16 Bn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 8.92 Bn |
| 10 | Chi Special Acquisition | 23.33 Mn | 23.33 Mn | - | 5.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.96 Mn |
| Dec 31, 2025 | 5.84 Mn |
| Sep 30, 2025 | 5.75 Mn |
| Jun 30, 2025 | 19.34 Mn |
| Mar 31, 2025 | 19.06 Mn |
| Dec 31, 2024 | 18.75 Mn |
| Sep 30, 2024 | 18.40 Mn |
| Jun 30, 2024 | 18.47 Mn |
| Mar 31, 2024 | 55.83 Mn |
| Dec 31, 2023 | 54.89 Mn |
| Sep 30, 2023 | 61.82 Mn |
| Jun 30, 2023 | 61.72 Mn |
| Mar 31, 2023 | 60.45 Mn |
| Dec 31, 2022 | 59.53 Mn |
| Sep 30, 2022 | 59.06 Mn |
| Jun 30, 2022 | 59.19 Mn |
| Mar 31, 2022 | 59.33 Mn |
| Mar 31, 2021 | 98,946.00 |
Chi Special Acquisition 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=assets&ticker=GDST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=GDST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();