LandBridge (LB) Accumulated Expenses (2023 - 2026)
LandBridge (LB) recorded Accumulated Expenses of $5.95 million in Q2 2026, down 5.3% from $6.28 million a year earlier and down 58.1% from the prior quarter.
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Analysis
LandBridge (LB) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, LandBridge reported Accumulated Expenses of $7.78 million, up 8.3% from FY2024.
- Across earlier years, Accumulated Expenses came in at $7.19 million in FY2024 (+45.3%) and $4.95 million in FY2023.
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q1 2025.
- On a year-over-year basis, Accumulated Expenses rose in four of the last six quarters, with growth averaging 26.3%.
- Per Business Quant, the preceding three quarters came in at $14.19 million (Q1 2026), $7.78 million (Q4 2025) and $7.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.42 Mn |
| Jun 30, 2026 | 5.95 Mn |
| Mar 31, 2026 | 14.19 Mn |
| Dec 31, 2025 | 7.78 Mn |
| Sep 30, 2025 | 7.32 Mn |
| Jun 30, 2025 | 6.28 Mn |
| Mar 31, 2025 | 5.84 Mn |
| Dec 31, 2024 | 7.19 Mn |
| Sep 30, 2024 | 6.20 Mn |
| Jun 30, 2024 | 12.98 Mn |
| Dec 31, 2023 | 4.95 Mn |
API Access
LandBridge Accumulated 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=accumulated-expenses&ticker=LB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();