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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 1.79 Bn |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | -76.63 Mn |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 37.46 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 572.26 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 1.45 Bn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -5.37 Bn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 1.13 Bn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | 236.68 Mn |
| 10 | Tejon Ranch | 438.56 Mn | 373.54 Mn | - | 114.46 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();