Global Asset Management (GAMG) Operating Margin (2023 - 2026)
Global Asset Management's Operating Margin was -12112.10% in Q2 2026, down 11707.73 percentage points from the prior quarter.
Global Asset Management (GAMG) Operating Margin (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Asset Management's Operating Margin was -454.69% through Jun 30, 2026; for FY2025, it came in at -114.08%, up 5729.40 percentage points from FY2024.
- In earlier years, Operating Margin was -5843.48% in FY2024 (-4305.98 pp) and -1537.50% in FY2023.
- Per Business Quant data, GAMG's Operating Margin in the three quarters before Q2 2026 was -404.36% (Q1 2026), -212.75% (Q4 2025) and -4.63% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 77.96% |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 66.07% |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | 85.16% |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 34.49% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 91.08% |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -16.31% |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 11.25% |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | -325.18% |
| 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 | -212.75% |
| Sep 30, 2025 | -4.63% |
| Mar 31, 2024 | -1,313.54% |
| Dec 31, 2023 | -1,537.50% |
| Sep 30, 2023 | -1,068.66% |
Global Asset Management Operating 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=operating-margin&ticker=GAMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=GAMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();