Texas Pacific Land (TPL) Net Income (2019 - 2026)
Texas Pacific Land (TPL) reported Net Income of $153.93 million for Q2 2026, up 32.5% from $116.14 million a year earlier and up 7.7% from the prior quarter.
Texas Pacific Land (TPL) Net Income (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Texas Pacific Land's Net Income came in at $541.42 million, up 17.3% year-over-year; for FY2025, it came in at $481.38 million, up 6.0% from FY2024.
- Net Income has a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- By year, Net Income came in at $453.96 million in FY2024 (+11.9%), $405.65 million in FY2023 (-9.1%), $446.36 million in FY2022 (+65.3%) and $269.98 million in FY2021 (+53.4%).
- The Q2 2026 figure ranks as the highest quarterly Net Income in data going back to Q4 2019.
- Year over year, Net Income has now increased in each of the last 11 quarters, with growth averaging 10.2% over the last eight quarters.
- The high point for year-over-year Net Income in five years was Q4 2021 (growth of 137.0%); the low point was Q3 2023 (a decline of 18.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $142.9 million (Q1 2026), $123.35 million (Q4 2025) and $121.24 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 167.37 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | 34.05 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | -371,000.00 |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | 37.06 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | 130.00 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | 110.60 Mn |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | 11.27 Mn |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | -218.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | - |
| 10 | Five Point Holdings | 649.79 Mn | 667.51 Mn | 7.10 Mn | -4.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 167.37 Mn |
| Jun 30, 2026 | 153.93 Mn |
| Mar 31, 2026 | 142.90 Mn |
| Dec 31, 2025 | 123.35 Mn |
| Sep 30, 2025 | 121.24 Mn |
| Jun 30, 2025 | 116.14 Mn |
| Mar 31, 2025 | 120.65 Mn |
| Dec 31, 2024 | 118.36 Mn |
| Sep 30, 2024 | 106.59 Mn |
| Jun 30, 2024 | 114.59 Mn |
| Mar 31, 2024 | 114.42 Mn |
| Dec 31, 2023 | 113.11 Mn |
| Sep 30, 2023 | 105.57 Mn |
| Jun 30, 2023 | 100.39 Mn |
| Mar 31, 2023 | 86.57 Mn |
| Dec 31, 2022 | 99.73 Mn |
| Sep 30, 2022 | 129.84 Mn |
| Jun 30, 2022 | 118.89 Mn |
| Mar 31, 2022 | 97.90 Mn |
| Dec 31, 2021 | 79.05 Mn |
Texas Pacific Land Net Income 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=net-income&ticker=TPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();