Global Asset Management (GAMG) Total Non-Current Liabilities (2020 - 2026)
Global Asset Management (GAMG) recorded Total Non-Current Liabilities of $196,031 in Q2 2026, down 58.7% from the prior quarter.
Global Asset Management (GAMG) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Global Asset Management reported Total Non-Current Liabilities of $196,032, up 192.7% from FY2024.
- Across earlier years, Total Non-Current Liabilities came in at $66,974 in FY2024 and $300.05 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Per Business Quant, the preceding three quarters came in at $474,735 (Q1 2026), $196,032 (Q4 2025) and $7.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.78 Bn | 22.61 Bn | - | - |
| 2 | St Joe | 3.90 Bn | 3.39 Bn | 73.42 Mn | - |
| 3 | Millrose Properties | 3.85 Bn | 3.49 Bn | - | 3.66 Bn |
| 4 | Opendoor Technologies | 1.88 Bn | -1.94 Bn | 86.00 Mn | 2.05 Bn |
| 5 | Forestar | 1.29 Bn | -57.45 Mn | 84.10 Mn | - |
| 6 | Five Point Holdings | 644.08 Mn | -813.54 Mn | -23.72 Mn | 685.56 Mn |
| 7 | Tejon Ranch | 430.45 Mn | 350.07 Mn | - | 130.57 Mn |
| 8 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | 13.52 Mn |
| 10 | Star Holdings | 89.52 Mn | -82.34 Mn | 5.31 Mn | 214.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.52 Mn |
| Mar 31, 2026 | 466,713.00 |
| Dec 31, 2025 | 10.24 Mn |
| Sep 30, 2025 | 7.43 Mn |
| Dec 31, 2024 | 66,974.00 |
| Jun 30, 2022 | 300.05 Mn |
| Dec 31, 2021 | 300.05 Mn |
| Sep 30, 2021 | 300.52 Mn |
| Mar 31, 2021 | -101.00 |
| Dec 31, 2020 | -23,153.00 |
Global Asset Management 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=GAMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GAMG", "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=GAMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();