LandBridge (LB) Return on Capital Employed [ROCE] (2024 - 2026)
LandBridge (LB) recorded Return on Capital Employed [ROCE] of 10.17% in Q2 2026, up 2.99 percentage points from 7.18% a year earlier and up 1.05 percentage points from the prior quarter.
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Analysis
LandBridge (LB) Return on Capital Employed [ROCE] (2024 - 2026) Analysis & Trends
For FY2025, LandBridge reported Return on Capital Employed [ROCE] of 9.98%, up 12.54 percentage points from FY2024.
- Across earlier years, Return on Capital Employed [ROCE] came in at -2.55% in FY2024.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for four consecutive quarters, with an average year-over-year change of +9.61 percentage points over the last four quarters.
- Per Business Quant, the preceding three quarters came in at 9.12% (Q1 2026), 9.80% (Q4 2025) and 9.68% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - | 39.30% |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn | - |
| 4 | ETF Managers Trust | 3.80 Bn | -3.56 Bn | - | - |
| 5 | Millrose Properties | 3.68 Bn | 3.32 Bn | - | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.22 Bn | 2.03 Bn | - | 6.01% |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn | -30.88% |
| 8 | Forestar | 1.33 Bn | -20.06 Mn | 84.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.17% |
| Mar 31, 2026 | 9.12% |
| Dec 31, 2025 | 9.80% |
| Sep 30, 2025 | 9.68% |
| Jun 30, 2025 | 7.18% |
| Mar 31, 2025 | -0.49% |
| Dec 31, 2024 | -1.95% |
| Sep 30, 2024 | -4.43% |
API Access
LandBridge Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=LB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=LB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();