LandBridge (LB) Cash & Equivalents (2023 - 2026)
LandBridge (LB) posted Cash & Equivalents of $39.8 million for Q2 2026, up 95.6% from $20.35 million a year earlier and up 34.1% from the prior quarter.
LandBridge (LB) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, LandBridge's Cash & Equivalents came in at $30.74 million, down 17.0% from FY2024.
- In prior years, LandBridge's Cash & Equivalents was $37.03 million in FY2024 (-2.1%) and $37.82 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q4 2023.
- On a year-over-year basis, Cash & Equivalents increased in three of the last six quarters, with growth averaging 42.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $29.68 million (Q1 2026), $30.74 million (Q4 2025) and $28.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.81 Bn | 17.80 Bn | - | 369.56 Mn |
| 2 | Howard Hughes Holdings | 4.58 Bn | -4.29 Bn | 435.75 Mn | 2.87 Bn |
| 3 | Millrose Properties | 4.31 Bn | 4.13 Bn | - | 64.54 Mn |
| 4 | St Joe | 3.98 Bn | 3.47 Bn | 80.65 Mn | 117.86 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.19 Bn | 2.01 Bn | - | 240.00 Mn |
| 6 | LandBridge | 1.82 Bn | 1.69 Bn | 65.71 Mn | 39.80 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.45 Bn | 38.00 Mn | 910.00 Mn |
| 8 | Forestar | 1.21 Bn | -133.09 Mn | 84.10 Mn | 394.90 Mn |
| 9 | Tejon Ranch | 462.18 Mn | 394.06 Mn | - | 2.61 Mn |
| 10 | American Realty Investors | 361.16 Mn | 16.71 Mn | - | 10.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.80 Mn |
| Mar 31, 2026 | 29.68 Mn |
| Dec 31, 2025 | 30.74 Mn |
| Sep 30, 2025 | 28.32 Mn |
| Jun 30, 2025 | 20.35 Mn |
| Mar 31, 2025 | 14.94 Mn |
| Dec 31, 2024 | 37.03 Mn |
| Sep 30, 2024 | 14.42 Mn |
| Jun 30, 2024 | 24.65 Mn |
| Dec 31, 2023 | 37.82 Mn |
LandBridge Cash & Equivalents 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=cash-and-equivalents&ticker=LB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();