Texas Pacific Land (TPL) Retained Earnings (2019 - 2026)
Texas Pacific Land (TPL) posted Retained Earnings of $1.79 billion for Q2 2026, up 25.9% from $1.42 billion a year earlier and up 6.7% from the prior quarter.
Texas Pacific Land (TPL) Retained Earnings (2019 - 2026) Analysis & Trends
At the end of FY2025, Texas Pacific Land's Retained Earnings came in at $1.6 billion, up 24.9% from FY2024.
- Annual Retained Earnings has increased for five consecutive years, with a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- In prior years, Texas Pacific Land's Retained Earnings was $1.28 billion in FY2024 (+9.0%), $1.17 billion in FY2023 (+35.3%), $866.14 million in FY2022 (+29.7%) and $668.03 million in FY2021 (+36.9%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2019.
- On a year-over-year basis, Retained Earnings has increased in each of the last 19 quarters, with growth averaging 16.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 5.8% (Q2 2025) to 46.9% (Q2 2023).
- According to Business Quant data, Retained Earnings for the three prior quarters was $1.68 billion (Q1 2026), $1.6 billion (Q4 2025) and $1.51 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.77 Bn | 22.59 Bn | - | 1.79 Bn |
| 2 | St Joe | 3.91 Bn | 3.40 Bn | 73.42 Mn | 572.26 Mn |
| 3 | Millrose Properties | 3.86 Bn | 3.50 Bn | - | - |
| 4 | Opendoor Technologies | 1.91 Bn | -1.91 Bn | 86.00 Mn | -5.37 Bn |
| 5 | Forestar | 1.30 Bn | -45.18 Mn | 84.10 Mn | 1.13 Bn |
| 6 | Five Point Holdings | 638.15 Mn | -819.47 Mn | -23.72 Mn | 236.68 Mn |
| 7 | Tejon Ranch | 429.37 Mn | 348.99 Mn | - | 114.46 Mn |
| 8 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | -138.31 Mn |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | -41.51 Mn |
| 10 | Star Holdings | 90.25 Mn | -81.62 Mn | 5.31 Mn | -316.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.79 Bn |
| Mar 31, 2026 | 1.68 Bn |
| Dec 31, 2025 | 1.60 Bn |
| Sep 30, 2025 | 1.51 Bn |
| Jun 30, 2025 | 1.42 Bn |
| Mar 31, 2025 | 1.35 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 1.20 Bn |
| Jun 30, 2024 | 1.35 Bn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | 1.17 Bn |
| Sep 30, 2023 | 1.08 Bn |
| Jun 30, 2023 | 1.00 Bn |
| Mar 31, 2023 | 927.54 Mn |
| Dec 31, 2022 | 866.14 Mn |
| Sep 30, 2022 | 789.52 Mn |
| Jun 30, 2022 | 682.85 Mn |
| Mar 31, 2022 | 741.91 Mn |
| Dec 31, 2021 | 668.03 Mn |
| Sep 30, 2021 | 614.76 Mn |
Texas Pacific Land Retained Earnings 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=retained-earnings&ticker=TPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();