LandBridge (LB) Change in Receivables (2023 - 2026)
LandBridge (LB) recorded Change in Receivables of -$800,000 in Q2 2026, compared with -$2.04 million a year earlier.
LandBridge (LB) Change in Receivables (2023 - 2026) Analysis & Trends
On a TTM basis, LandBridge's Change in Receivables came in at -$203,000 as of Jun 30, 2026; for FY2025, it came in at $6.83 million.
- Across earlier years, Change in Receivables came in at -$2.11 million in FY2024 and $1.47 million in FY2023.
- Quarterly Change in Receivables has ranged from -$3.93 million in Q1 2024 to $7.38 million in Q1 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$895,000 (Q1 2026), -$296,000 (Q4 2025) and $1.79 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.20 Bn | 18.19 Bn | - | - |
| 2 | Howard Hughes Holdings | 5.05 Bn | -3.83 Bn | 435.75 Mn | -34.58 Mn |
| 3 | Millrose Properties | 4.42 Bn | 4.24 Bn | - | - |
| 4 | St Joe | 4.28 Bn | 3.78 Bn | 80.65 Mn | - |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.06 Bn | - | - |
| 6 | LandBridge | 1.83 Bn | 1.70 Bn | 65.71 Mn | -800,000.00 |
| 7 | Opendoor Technologies | 1.33 Bn | -2.44 Bn | 38.00 Mn | - |
| 8 | Forestar | 1.23 Bn | -117.25 Mn | 84.10 Mn | - |
| 9 | Tejon Ranch | 482.31 Mn | 414.19 Mn | - | - |
| 10 | Frp Holdings | 377.27 Mn | -71.77 Mn | - | -7,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -800,000.00 |
| Mar 31, 2026 | -895,000.00 |
| Dec 31, 2025 | -296,000.00 |
| Sep 30, 2025 | 1.79 Mn |
| Jun 30, 2025 | -2.04 Mn |
| Mar 31, 2025 | 7.38 Mn |
| Dec 31, 2024 | -473,000.00 |
| Sep 30, 2024 | -1.50 Mn |
| Jun 30, 2024 | 3.80 Mn |
| Mar 31, 2024 | -3.93 Mn |
| Dec 31, 2023 | -883,000.00 |
| Sep 30, 2023 | -2.34 Mn |
LandBridge Change in 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=change-in-receivables&ticker=LB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();