LandBridge (LB) Price to Sales (2024 - 2026)
LandBridge's (LB) Price to Sales was 27.03 for Q2 2026, down 18.0% from 32.98 a year earlier but up 4.8% from the prior quarter.
Analysis
LandBridge (LB) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, Price to Sales at LandBridge was 18.97, down 57.8% from FY2024.
- By year, Price to Sales came in at 44.94 in FY2024.
- Five-year quarterly Price to Sales spans a low of 18.97 in Q4 2025 and a high of 44.94 in Q4 2024.
- Year over year, Price to Sales has now declined in each of the last four quarters, with an average decline of 35.0% over the last four quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at 25.80 (Q1 2026), 18.97 (Q4 2025) and 22.80 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn |
| 10 | Tejon Ranch | 438.56 Mn | 373.54 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.03 |
| Mar 31, 2026 | 25.80 |
| Dec 31, 2025 | 18.97 |
| Sep 30, 2025 | 22.80 |
| Jun 30, 2025 | 32.98 |
| Mar 31, 2025 | 40.77 |
| Dec 31, 2024 | 44.94 |
| Sep 30, 2024 | 31.48 |
API Access
LandBridge Price to Sales 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=price-to-sales&ticker=LB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();