GCL Global Holdings (GCL) Total Non-Current Liabilities (2023 - 2026)
GCL Global Holdings' Total Non-Current Liabilities came in at $59.15 trillion for the quarter ended Mar 31, 2026, up 381.6% from $12.28 trillion a year earlier.
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Analysis
GCL Global Holdings (GCL) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2023, GCL Global Holdings' Total Non-Current Liabilities data covers 6 quarters.
- Total Non-Current Liabilities carries a three-year compound annual growth rate of 12989.7% (years ended Mar 2023 to Mar 2026).
- Going back by year, Total Non-Current Liabilities was $12.28 trillion in the year ended Mar 31, 2025, $2.54 million in the year ended Mar 31, 2024 (-90.4%) and $26.38 million in the year ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 270.20 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 170.41 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 121.77 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 428.00 Mn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 4.77 Bn |
| 10 | GCL Global Holdings | 92.17 Mn | 4,098.28 Bn | - | 59,153.72 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 59,153.72 Bn |
| Sep 30, 2025 | 48,270.56 Bn |
| Mar 31, 2025 | 12,282.63 Bn |
| Sep 30, 2024 | 703.54 Bn |
| Mar 31, 2024 | 2.54 Mn |
| Mar 31, 2023 | 26.38 Mn |
API Access
GCL Global Holdings Total Non-Current 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-non-current-liabilities&ticker=GCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GCL", "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-non-current-liabilities&ticker=GCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();