Global Asset Management (GAMG) Net Margin (2023 - 2026)
Global Asset Management's Net Margin came in at -12112.10% for Q2 2026, down 11707.73 percentage points from the prior quarter.
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Analysis
Global Asset Management (GAMG) Net Margin (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global Asset Management reported Net Margin of -454.69%; for FY2025, it came in at -161.30%, up 6576.88 percentage points from FY2024.
- Going back by year, Net Margin was -6738.18% in FY2024 (-5353.59 pp) and -1384.59% in FY2023.
- Business Quant data shows GAMG's Net Margin at -404.36% (Q1 2026), -212.42% (Q4 2025) and -4.93% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.78 Bn | 22.61 Bn | - | 62.56% |
| 2 | St Joe | 3.90 Bn | 3.39 Bn | 73.42 Mn | 25.48% |
| 3 | Millrose Properties | 3.85 Bn | 3.49 Bn | - | 63.95% |
| 4 | Opendoor Technologies | 1.88 Bn | -1.94 Bn | 86.00 Mn | -18.35% |
| 5 | Forestar | 1.29 Bn | -57.45 Mn | 84.10 Mn | 8.82% |
| 6 | Five Point Holdings | 644.08 Mn | -813.54 Mn | -23.72 Mn | 78.13% |
| 7 | Tejon Ranch | 430.45 Mn | 350.07 Mn | - | 18.48% |
| 8 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | -311.52% |
| 10 | Star Holdings | 89.52 Mn | -82.34 Mn | 5.31 Mn | 214.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -311.52% |
| Mar 31, 2026 | -404.36% |
| Dec 31, 2025 | -214.56% |
| Sep 30, 2025 | -4.93% |
| Mar 31, 2024 | -1,628.26% |
| Dec 31, 2023 | -1,384.60% |
| Sep 30, 2023 | -915.74% |
API Access
Global Asset Management Net Margin 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=net-margin&ticker=GAMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=GAMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();