Chi Special Acquisition (GDST) Price to Earnings (2023 - 2025)
Chi Special Acquisition's Price to Earnings came in at 248.55 for fiscal Q4 2025 (quarter ended Mar 31, 2025), up 569.4% from 37.13 a year earlier and up 843.5% from the prior quarter.
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Analysis
Chi Special Acquisition (GDST) Price to Earnings (2023 - 2025) Analysis & Trends
Going back to fiscal Q4 2023, Chi Special Acquisition's Price to Earnings data covers 9 quarters.
- Going back by fiscal year, Price to Earnings was 37.13 in FY2024 (-90.9%) and 410.18 in FY2023.
- The fiscal Q4 2025 figure represents the highest quarterly Price to Earnings since fiscal Q4 2023.
- Year-over-year, Price to Earnings has increased for four consecutive quarters, with growth averaging 172.6% over the last five quarters.
- Business Quant data shows GDST's Price to Earnings at 26.34 (Q3 2025), 15.47 (Q2 2025) and 38.96 (Q1 2025) in the three fiscal quarters before Q4 2025.
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, 2025 | 248.55 |
| Dec 31, 2024 | 26.34 |
| Sep 30, 2024 | 15.47 |
| Jun 30, 2024 | 38.96 |
| Mar 31, 2024 | 37.13 |
| Dec 31, 2023 | 7.81 |
| Sep 30, 2023 | 10.30 |
| Jun 30, 2023 | 19.76 |
| Mar 31, 2023 | 410.18 |
API Access
Chi Special Acquisition Price to Earnings 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=price-to-earnings&ticker=GDST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GDST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();