Garden Stage (GSIW) Accumulated Expenses (2023 - 2026)
Garden Stage's Accumulated Expenses came in at $521,962 for the quarter ended Mar 31, 2026, up 110.2% from $248,298 a year earlier.
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Analysis
Garden Stage (GSIW) Accumulated Expenses (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, Garden Stage's Accumulated Expenses data covers 7 quarters.
- Accumulated Expenses has increased in each of the last three years, with a three-year compound annual growth rate of 182.6% (years ended Mar 2023 to Mar 2026).
- Going back by year, Accumulated Expenses was $248,298 in the year ended Mar 31, 2025 (+197.4%), $83,479 in the year ended Mar 31, 2024 (+260.9%) and $23,132 in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | Garden Stage | 742,968.77 | -25.01 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 521,962.00 |
| Sep 30, 2025 | 258,781.00 |
| Mar 31, 2025 | 248,298.00 |
| Sep 30, 2024 | 77,051.00 |
| Mar 31, 2024 | 83,479.00 |
| Sep 30, 2023 | 5,827.00 |
| Mar 31, 2023 | 23,132.00 |
API Access
Garden Stage 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=GSIW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GSIW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();