LandBridge (LB) EBITDA (2023 - 2026)
LandBridge's EBITDA was $48.53 million in Q2 2026, up 56.3% from $31.05 million a year earlier and up 44.4% from the prior quarter.
LandBridge (LB) EBITDA (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, LandBridge's EBITDA was $153.42 million through Jun 30, 2026, up 81.5% year-over-year; for FY2025, it was $129.97 million.
- In earlier years, EBITDA was -$7.64 million in FY2024 and $78.77 million in FY2023.
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q2 2023.
- Compared with a year earlier, EBITDA has increased for four straight quarters, with growth averaging 123.9% over the last seven quarters.
- Per Business Quant data, LB's EBITDA in the three quarters before Q2 2026 was $33.6 million (Q1 2026), $37.82 million (Q4 2025) and $33.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 208.46 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 48.53 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 66.16 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 72.10 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | -136.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 46.50 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | -43.27 Mn |
| 10 | Tejon Ranch | 443.42 Mn | 378.40 Mn | - | 1.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.53 Mn |
| Mar 31, 2026 | 33.60 Mn |
| Dec 31, 2025 | 37.82 Mn |
| Sep 30, 2025 | 33.47 Mn |
| Jun 30, 2025 | 31.05 Mn |
| Mar 31, 2025 | 27.64 Mn |
| Dec 31, 2024 | 20.60 Mn |
| Sep 30, 2024 | 5.23 Mn |
| Jun 30, 2024 | -49.12 Mn |
| Mar 31, 2024 | 15.67 Mn |
| Dec 31, 2023 | 7.79 Mn |
| Sep 30, 2023 | 21.67 Mn |
| Jun 30, 2023 | 47.43 Mn |
LandBridge EBITDA 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=ebitda&ticker=LB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();