Chi Special Acquisition (GDST) Operating Expenses (2021 - 2026)
Chi Special Acquisition's Operating Expenses came in at $134,146 for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 34.6% from $205,191 a year earlier and down 6.6% from the prior quarter.
Chi Special Acquisition (GDST) Operating Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Chi Special Acquisition's Operating Expenses was $856,463, down 11.8% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 281.9% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $971,217 in FY2025 (+35.4%), $717,167 in FY2024 (-28.2%), $998,735 in FY2023 and $43,401 in FY2022.
- The fiscal Q4 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q2 2025.
- Year-over-year, Operating Expenses increased in three of the last seven quarters, with growth averaging 2.0%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2023 (growth of 914.9%), and the weakest in fiscal Q2 2025 (a decline of 68.0%).
- Business Quant data shows GDST's Operating Expenses at $143,610 (Q3 2026), $198,884 (Q2 2026) and $379,823 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.38 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Chi Special Acquisition | 23.33 Mn | 23.33 Mn | - | 134,146.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 134,146.00 |
| Dec 31, 2025 | 143,610.00 |
| Sep 30, 2025 | 198,884.00 |
| Jun 30, 2025 | 379,823.00 |
| Mar 31, 2025 | 205,191.00 |
| Dec 31, 2024 | 136,809.00 |
| Sep 30, 2024 | 113,854.00 |
| Jun 30, 2024 | 515,363.00 |
| Mar 31, 2024 | -106,017.00 |
| Dec 31, 2023 | 205,304.00 |
| Sep 30, 2023 | 355,758.00 |
| Jun 30, 2023 | 262,122.00 |
| Mar 31, 2023 | 279,850.00 |
| Dec 31, 2022 | 170,795.00 |
| Sep 30, 2022 | 221,304.00 |
| Jun 30, 2022 | 326,786.00 |
| Mar 31, 2022 | 27,573.00 |
| Dec 31, 2021 | 838.00 |
| Sep 30, 2021 | 336.00 |
| Jun 30, 2021 | 14,654.00 |
Chi Special Acquisition Operating 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=operating-expenses&ticker=GDST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GDST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();