LandBridge (LB) Receivables (2023 - 2026)
LandBridge's Receivables came in at $27.5 million for Q2 2026, up 33.6% from $20.58 million a year earlier and up 4.8% from the prior quarter.
Analysis
LandBridge (LB) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, LandBridge's Receivables was $24.31 million, up 65.9% from FY2024.
- Going back by year, Receivables was $14.66 million in FY2024 (+9.2%) and $13.42 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2023.
- Year-over-year, Receivables increased in five of the last six quarters, with growth averaging 32.3%.
- Business Quant data shows LB's Receivables at $26.23 million (Q1 2026), $24.31 million (Q4 2025) and $24.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 174.77 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | 2.35 Mn |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 27.50 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 17.94 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 55.70 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | - |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | - |
| 10 | Tejon Ranch | 443.42 Mn | 378.40 Mn | - | 2.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.50 Mn |
| Mar 31, 2026 | 26.23 Mn |
| Dec 31, 2025 | 24.31 Mn |
| Sep 30, 2025 | 24.23 Mn |
| Jun 30, 2025 | 20.58 Mn |
| Mar 31, 2025 | 27.21 Mn |
| Dec 31, 2024 | 14.66 Mn |
| Sep 30, 2024 | 14.92 Mn |
| Jun 30, 2024 | 16.30 Mn |
| Dec 31, 2023 | 13.42 Mn |
API Access
LandBridge Receivables 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=receivables&ticker=LB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();