Garden Stage (GSIW) Assets (2023 - 2026)
Garden Stage's Assets came in at $41.93 million for the quarter ended Mar 31, 2026, up 163.7% from $15.9 million a year earlier.
Powered by 
Analysis
Garden Stage (GSIW) Assets (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, Garden Stage's Assets data covers 7 quarters.
- Assets carries a three-year compound annual growth rate of 47.3% (years ended Mar 2023 to Mar 2026).
- Going back by year, Assets was $15.9 million in the year ended Mar 31, 2025 (-4.1%), $16.58 million in the year ended Mar 31, 2024 (+26.3%) and $13.13 million in the year ended Mar 31, 2023.
- Year-over-year, Assets increased in three of the last four quarters, with growth averaging 90.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 56.55 Bn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 525.02 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 194.68 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 174.25 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 27.34 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | 418.38 Bn |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 247.31 Bn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 179.30 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 10.61 Bn |
| 10 | Garden Stage | 845,312.48 | -24.91 Mn | - | 41.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 41.93 Mn |
| Sep 30, 2025 | 32.41 Mn |
| Mar 31, 2025 | 15.90 Mn |
| Sep 30, 2024 | 15.61 Mn |
| Mar 31, 2024 | 16.58 Mn |
| Sep 30, 2023 | 8.08 Mn |
| Mar 31, 2023 | 13.13 Mn |
API Access
Garden Stage 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=GSIW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "GSIW", "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=GSIW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();