Garden Stage (GSIW) Total Liabilities (2023 - 2026)
Garden Stage (GSIW) recorded Total Liabilities of $17.7 million in the quarter ended Mar 31, 2026, up 92.5% from $9.2 million a year earlier.
Garden Stage (GSIW) Total Liabilities (2023 - 2026) Analysis & Trends
Starting with the quarter ended Mar 31, 2023, Garden Stage's Total Liabilities history includes 7 quarters.
- Annual Total Liabilities has a three-year compound annual growth rate of 16.5% (years ended Mar 2023 to Mar 2026).
- Across earlier years, Total Liabilities came in at $9.2 million in the year ended Mar 31, 2025 (+26.0%), $7.3 million in the year ended Mar 31, 2024 (-34.7%) and $11.18 million in the year ended Mar 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | 47.01 Bn |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | 479.76 Bn |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 168.16 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 144.63 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 15.35 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | 225.06 Bn |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | 165.90 Bn |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 4.98 Bn |
| 10 | Garden Stage | 845,312.48 | -24.91 Mn | - | 17.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 17.70 Mn |
| Sep 30, 2025 | 12.56 Mn |
| Mar 31, 2025 | 9.20 Mn |
| Sep 30, 2024 | 8.71 Mn |
| Mar 31, 2024 | 7.30 Mn |
| Sep 30, 2023 | 6.08 Mn |
| Mar 31, 2023 | 11.18 Mn |
Garden Stage Total Liabilities 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=total-liabilities&ticker=GSIW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GSIW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();