Texas Pacific Land (TPL) Capital Expenditures (2020 - 2026)
Texas Pacific Land (TPL) posted Capital Expenditures of $21.85 million for Q2 2026, up 560.0% from $3.31 million a year earlier and up 197.4% from the prior quarter.
Texas Pacific Land (TPL) Capital Expenditures (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Texas Pacific Land was $76.46 million, up 129.2% year-over-year; for FY2025, it was $59.53 million, up 100.5% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 63.6% (FY2020 to FY2025).
- In prior years, Texas Pacific Land's Capital Expenditures was $29.7 million in FY2024 (+97.6%), $15.03 million in FY2023 (-21.8%), $19.21 million in FY2022 (+23.6%) and $15.55 million in FY2021 (+205.7%).
- Quarterly Capital Expenditures has run from a low of $1.75 million in Q1 2023 to a high of $28.65 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures increased in six of the last eight quarters, with growth averaging 162.9%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q2 2026, with growth of 560.0%; the weakest was Q1 2023, with a decline of 51.7%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $7.35 million (Q1 2026), $28.65 million (Q4 2025) and $18.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 21.85 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 1.13 Mn |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | - |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 977,000.00 |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | -800,000.00 |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 5.00 Mn |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | 176,000.00 |
| 10 | Tejon Ranch | 441.80 Mn | 376.78 Mn | - | 8.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.85 Mn |
| Mar 31, 2026 | 7.35 Mn |
| Dec 31, 2025 | 28.65 Mn |
| Sep 30, 2025 | 18.60 Mn |
| Jun 30, 2025 | 3.31 Mn |
| Mar 31, 2025 | 8.97 Mn |
| Dec 31, 2024 | 13.25 Mn |
| Sep 30, 2024 | 7.83 Mn |
| Jun 30, 2024 | 6.38 Mn |
| Mar 31, 2024 | 2.24 Mn |
| Dec 31, 2023 | 4.40 Mn |
| Sep 30, 2023 | 5.09 Mn |
| Jun 30, 2023 | 3.79 Mn |
| Mar 31, 2023 | 1.75 Mn |
| Dec 31, 2022 | 6.19 Mn |
| Sep 30, 2022 | 6.34 Mn |
| Jun 30, 2022 | 3.06 Mn |
| Mar 31, 2022 | 3.62 Mn |
| Dec 31, 2021 | 4.49 Mn |
| Sep 30, 2021 | 6.60 Mn |
Texas Pacific Land Capital Expenditures 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=capital-expenditures&ticker=TPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();