LandBridge (LB) Operating Expenses (2024 - 2026)
LandBridge (LB) reported Operating Expenses of $15.9 million for Q2 2026, up 7.4% from $14.8 million a year earlier and up 1.1% from the prior quarter.
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Analysis
LandBridge (LB) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, LandBridge's Operating Expenses came in at $46.53 million, up 52.4% year-over-year; for FY2024, it came in at $2.6 million, up 8.3% from FY2023.
- By year, Operating Expenses came in at $2.4 million in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.55 Bn | 22.38 Bn | - | 54.24 Mn |
| 2 | St Joe | 3.95 Bn | 3.44 Bn | 73.42 Mn | 104.06 Mn |
| 3 | Millrose Properties | 3.88 Bn | 3.52 Bn | - | 29.22 Mn |
| 4 | LandBridge | 2.22 Bn | 2.09 Bn | 65.71 Mn | 15.90 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.83 Bn | 86.00 Mn | 230.00 Mn |
| 6 | Forestar | 1.30 Bn | -43.39 Mn | 84.10 Mn | 38.30 Mn |
| 7 | Five Point Holdings | 662.61 Mn | -795.01 Mn | -23.72 Mn | 21.49 Mn |
| 8 | Tejon Ranch | 437.20 Mn | 356.82 Mn | - | 13.91 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 10 | Global Asset Management | 182.09 Mn | 179.78 Mn | 236,261.00 | 972,259.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.90 Mn |
| Mar 31, 2026 | 15.73 Mn |
| Sep 30, 2025 | 100,000.00 |
| Jun 30, 2025 | 14.80 Mn |
| Mar 31, 2025 | 15.53 Mn |
| Sep 30, 2024 | 100,000.00 |
| Jun 30, 2024 | 100,000.00 |
| Mar 31, 2024 | 600,000.00 |
API Access
LandBridge Operating Expenses 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-expenses&ticker=LB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LB", "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-expenses&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();