Chi Special Acquisition (GDST) Accumulated Expenses (2022 - 2026)
Chi Special Acquisition's Accumulated Expenses came in at $1.31 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 48.3% from $884,628 a year earlier and up 7.6% from the prior quarter.
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Analysis
Chi Special Acquisition (GDST) Accumulated Expenses (2022 - 2026) Analysis & Trends
Going back to fiscal Q4 2022, Chi Special Acquisition's Accumulated Expenses data covers 17 quarters.
- Accumulated Expenses has increased in each of the last three fiscal years, with a four-year compound annual growth rate of 536.7% (FY2022 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $884,628 in FY2025 (+79.5%), $492,826 in FY2024 (+140.5%), $204,882 in FY2023 and $798.00 in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2022.
- Year-over-year, Accumulated Expenses has increased for 12 consecutive quarters, with growth averaging 71.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 28.4% (fiscal Q3 2025) to 899.5% (fiscal Q2 2024).
- Business Quant data shows GDST's Accumulated Expenses at $1.22 million (Q3 2026), $1.18 million (Q2 2026) and $1.08 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn |
| 10 | Chi Special Acquisition | 23.33 Mn | 23.33 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.31 Mn |
| Dec 31, 2025 | 1.22 Mn |
| Sep 30, 2025 | 1.18 Mn |
| Jun 30, 2025 | 1.08 Mn |
| Mar 31, 2025 | 884,628.00 |
| Dec 31, 2024 | 744,146.00 |
| Sep 30, 2024 | 681,655.00 |
| Jun 30, 2024 | 788,272.00 |
| Mar 31, 2024 | 492,826.00 |
| Dec 31, 2023 | 579,563.00 |
| Sep 30, 2023 | 491,010.00 |
| Jun 30, 2023 | 261,067.00 |
| Mar 31, 2023 | 204,882.00 |
| Dec 31, 2022 | 74,677.00 |
| Sep 30, 2022 | 49,126.00 |
| Jun 30, 2022 | 105,573.00 |
| Mar 31, 2022 | 798.00 |
API Access
Chi Special Acquisition Accumulated Expenses 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=accumulated-expenses&ticker=GDST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GDST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();