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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 62.56% |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 46.45% |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | 63.95% |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 25.48% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 129.68% |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -18.35% |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 8.82% |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | 78.13% |
| 10 | Global Asset Management | 82.43 Mn | 80.24 Mn | 3,274.00 | -12,112.10% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12,112.10% |
| Mar 31, 2026 | -404.36% |
| Dec 31, 2025 | -212.42% |
| Sep 30, 2025 | -4.93% |
| Mar 31, 2024 | -1,628.26% |
| Dec 31, 2023 | -1,384.60% |
| Sep 30, 2023 | -915.74% |
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_KEY
import 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();