Texas Pacific Land (TPL) Non-Current Assets (2020 - 2026)
Texas Pacific Land (TPL) reported Non-Current Assets of $1.43 billion for Q2 2026, up 94.1% from $737.16 million a year earlier and up 8.7% from the prior quarter.
Texas Pacific Land (TPL) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Texas Pacific Land posted Non-Current Assets of $1.3 billion, up 75.1% from FY2024.
- Non-Current Assets has increased for four consecutive years, with a five-year compound annual growth rate of 40.4% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $744.65 million in FY2024 (+153.3%), $293.93 million in FY2023 (+20.5%), $244.03 million in FY2022 (+2.7%) and $237.55 million in FY2021 (-0.6%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to Q4 2020.
- Year over year, Non-Current Assets has now increased in each of the last 17 quarters, with growth averaging 103.7% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2024 (growth of 153.3%); the low point was Q4 2021 (a decline of 0.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.32 billion (Q1 2026), $1.3 billion (Q4 2025) and $787.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 1.43 Bn |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | 7.80 Mn |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 1.31 Bn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 4.36 Bn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 111.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | - |
| 10 | Tejon Ranch | 438.56 Mn | 373.54 Mn | - | 607.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.43 Bn |
| Mar 31, 2026 | 1.32 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 787.74 Mn |
| Jun 30, 2025 | 737.16 Mn |
| Mar 31, 2025 | 746.37 Mn |
| Dec 31, 2024 | 744.65 Mn |
| Sep 30, 2024 | 466.60 Mn |
| Jun 30, 2024 | 298.11 Mn |
| Mar 31, 2024 | 295.34 Mn |
| Dec 31, 2023 | 293.93 Mn |
| Sep 30, 2023 | 288.46 Mn |
| Jun 30, 2023 | 263.79 Mn |
| Mar 31, 2023 | 244.25 Mn |
| Dec 31, 2022 | 244.03 Mn |
| Sep 30, 2022 | 239.79 Mn |
| Jun 30, 2022 | 240.77 Mn |
| Mar 31, 2022 | 237.73 Mn |
| Dec 31, 2021 | 237.55 Mn |
| Sep 30, 2021 | 237.51 Mn |
Texas Pacific Land Non-Current Assets 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=non-current-assets&ticker=TPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();