Texas Pacific Land (TPL) EBITDA (2020 - 2026)
Texas Pacific Land's EBITDA came in at $208.46 million for Q2 2026, up 32.4% from $157.45 million a year earlier and up 6.2% from the prior quarter.
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Analysis
Texas Pacific Land (TPL) EBITDA (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Texas Pacific Land reported EBITDA of $740.06 million, up 22.0% year-over-year; for FY2025, it came in at $654.69 million, up 16.0% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $564.3 million in FY2024 (+12.7%), $500.81 million in FY2023 (-13.3%), $577.68 million in FY2022 (+52.6%) and $378.65 million in FY2021 (+63.5%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2020.
- Year-over-year, EBITDA has increased for 11 consecutive quarters, with growth averaging 16.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q4 2021 (growth of 121.8%), and the weakest in Q3 2023 (a decline of 21.3%).
- Business Quant data shows TPL's EBITDA at $196.37 million (Q1 2026), $171.18 million (Q4 2025) and $164.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 208.46 Mn |
| Mar 31, 2026 | 196.37 Mn |
| Dec 31, 2025 | 171.18 Mn |
| Sep 30, 2025 | 164.05 Mn |
| Jun 30, 2025 | 157.45 Mn |
| Mar 31, 2025 | 162.01 Mn |
| Dec 31, 2024 | 154.01 Mn |
| Sep 30, 2024 | 133.09 Mn |
| Jun 30, 2024 | 137.32 Mn |
| Mar 31, 2024 | 139.88 Mn |
| Dec 31, 2023 | 137.74 Mn |
| Sep 30, 2023 | 130.54 Mn |
| Jun 30, 2023 | 124.17 Mn |
| Mar 31, 2023 | 108.36 Mn |
| Dec 31, 2022 | 127.38 Mn |
| Sep 30, 2022 | 165.97 Mn |
| Jun 30, 2022 | 155.89 Mn |
| Mar 31, 2022 | 128.44 Mn |
| Dec 31, 2021 | 130.56 Mn |
| Sep 30, 2021 | 107.11 Mn |
API Access
Texas Pacific Land 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=TPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "TPL", "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=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();