LandBridge (LB) Change in Accrued Expenses (2024 - 2026)
LandBridge's Change in Accured Expenses came in at -$7.5 million for Q2 2026, compared with $1.16 million a year earlier.
Powered by 
Analysis
LandBridge (LB) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, LandBridge reported Change in Accured Expenses of -$1.59 million; for FY2025, it was -$1.62 million.
- Going back by year, Change in Accured Expenses was $506,000 in FY2024 and -$186,000 in FY2023.
- The Q2 2026 figure represents the lowest quarterly Change in Accured Expenses in data going back to Q1 2024.
- Business Quant data shows LB's Change in Accured Expenses at $6.69 million (Q1 2026), -$1.05 million (Q4 2025) and $269,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 13.50 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 | 2.08 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 | - | -900,000.00 |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | -15.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | - |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn | 9.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.50 Mn |
| Jun 30, 2026 | -7.50 Mn |
| Mar 31, 2026 | 6.69 Mn |
| Dec 31, 2025 | -2.07 Mn |
| Sep 30, 2025 | 1.29 Mn |
| Jun 30, 2025 | 1.16 Mn |
| Mar 31, 2025 | -1.99 Mn |
| Dec 31, 2024 | 893,000.00 |
| Sep 30, 2024 | -3.78 Mn |
| Jun 30, 2024 | 4.49 Mn |
| Mar 31, 2024 | -1.10 Mn |
API Access
LandBridge Change in Accrued 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=change-in-accured-expenses&ticker=LB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();