Texas Pacific Land (TPL) Cash & Equivalents (2019 - 2026)
Texas Pacific Land (TPL) recorded Cash & Equivalents of $248.61 million in Q2 2026, down 54.3% from $543.93 million a year earlier but up 0.4% from the prior quarter.
Texas Pacific Land (TPL) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Texas Pacific Land reported Cash & Equivalents of $144.81 million, down 60.8% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -12.4% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $369.84 million in FY2024 (-49.0%), $725.17 million in FY2023 (+42.0%), $510.83 million in FY2022 (+19.3%) and $428.24 million in FY2021 (+52.4%).
- Quarterly Cash & Equivalents has ranged from $144.81 million in Q4 2025 to $894.7 million in Q2 2024 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for eight consecutive quarters, with an average decline of 39.2% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 63.3% in Q1 2022, against a decline of 60.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $247.57 million (Q1 2026), $144.81 million (Q4 2025) and $531.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.83 Bn | 22.66 Bn | - | 248.61 Mn |
| 2 | St Joe | 3.87 Bn | 3.36 Bn | 73.42 Mn | 117.32 Mn |
| 3 | Millrose Properties | 3.65 Bn | 3.29 Bn | - | 34.17 Mn |
| 4 | LandBridge | 2.24 Bn | 2.11 Bn | 65.71 Mn | 39.80 Mn |
| 5 | Opendoor Technologies | 1.97 Bn | -1.85 Bn | 86.00 Mn | 896.00 Mn |
| 6 | Forestar | 1.28 Bn | -66.65 Mn | 84.10 Mn | 394.90 Mn |
| 7 | Five Point Holdings | 634.45 Mn | -823.18 Mn | -23.72 Mn | 348.38 Mn |
| 8 | Tejon Ranch | 435.85 Mn | 355.47 Mn | - | 3.87 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | 43.50 Mn |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 | 187,933.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.61 Mn |
| Mar 31, 2026 | 247.57 Mn |
| Dec 31, 2025 | 144.81 Mn |
| Sep 30, 2025 | 531.81 Mn |
| Jun 30, 2025 | 543.93 Mn |
| Mar 31, 2025 | 460.38 Mn |
| Dec 31, 2024 | 369.84 Mn |
| Sep 30, 2024 | 533.91 Mn |
| Jun 30, 2024 | 894.70 Mn |
| Mar 31, 2024 | 837.10 Mn |
| Dec 31, 2023 | 725.17 Mn |
| Sep 30, 2023 | 654.16 Mn |
| Jun 30, 2023 | 609.25 Mn |
| Mar 31, 2023 | 590.62 Mn |
| Dec 31, 2022 | 510.83 Mn |
| Sep 30, 2022 | 446.59 Mn |
| Jun 30, 2022 | 389.79 Mn |
| Mar 31, 2022 | 507.36 Mn |
| Dec 31, 2021 | 428.24 Mn |
| Sep 30, 2021 | 372.76 Mn |
Texas Pacific Land Cash & Equivalents 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=cash-and-equivalents&ticker=TPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();