LandBridge (LB) Acquisitions (2024 - 2026)
LandBridge (LB) recorded Acquisitions of $266.8 million in Q3 2026, compared with $5,000 a year earlier.
LandBridge (LB) Acquisitions (2024 - 2026) Analysis & Trends
On a TTM basis, LandBridge's Acquisitions came in at $489.24 million as of Sep 30, 2026, up 57.4% year-over-year; for FY2025, it came in at $229.05 million, down 68.3% from FY2024.
- Across earlier years, Acquisitions came in at $723.37 million in FY2024.
- The Q3 2026 figure is the highest quarterly Acquisitions since Q4 2024.
- On a year-over-year basis, Acquisitions rose in 1 of the last six quarters, with growth averaging 99.0%.
- Per Business Quant, the preceding three quarters came in at $10.17 million (Q2 2026), $2 million (Q1 2026) and $210.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn | 3.50 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn | 266.80 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn | 8.79 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - | - |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn | 78.29 Mn |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn | - |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 266.80 Mn |
| Jun 30, 2026 | 10.17 Mn |
| Mar 31, 2026 | 2.00 Mn |
| Dec 31, 2025 | 210.28 Mn |
| Sep 30, 2025 | 5,000.00 |
| Jun 30, 2025 | 944,000.00 |
| Mar 31, 2025 | 17.82 Mn |
| Dec 31, 2024 | 292.11 Mn |
| Sep 30, 2024 | 750,000.00 |
| Jun 30, 2024 | 375.44 Mn |
| Mar 31, 2024 | 55.07 Mn |
LandBridge Acquisitions 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=acquisitions&ticker=LB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();