Texas Pacific Land (TPL) Accumulated Expenses (2020 - 2026)
Texas Pacific Land (TPL) posted Accumulated Expenses of $104,000 for Q2 2026, down 83.9% from $646,000 a year earlier but up 40.5% from the prior quarter.
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Analysis
Texas Pacific Land (TPL) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Texas Pacific Land's Accumulated Expenses came in at $413,000, down 18.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of -28.1% (FY2020 to FY2025).
- In prior years, Texas Pacific Land's Accumulated Expenses was $504,000 in FY2024 (+83.9%), $274,000 in FY2023 (+109.2%), $131,000 in FY2022 (-78.6%) and $611,000 in FY2021 (-71.6%).
- Quarterly Accumulated Expenses has run from a low of $74,000 in Q1 2026 to a high of $4.66 million in Q3 2022 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last six quarters, with an average decline of 34.3% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 109.2%; the weakest was Q1 2026, with a decline of 89.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $74,000 (Q1 2026), $413,000 (Q4 2025) and $372,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 24.04 Bn | 22.87 Bn | - |
| 2 | St Joe | 3.85 Bn | 3.34 Bn | 73.42 Mn |
| 3 | Millrose Properties | 3.66 Bn | 3.30 Bn | - |
| 4 | LandBridge | 2.24 Bn | 2.11 Bn | 65.71 Mn |
| 5 | Opendoor Technologies | 1.94 Bn | -1.88 Bn | 86.00 Mn |
| 6 | Forestar | 1.31 Bn | -36.39 Mn | 84.10 Mn |
| 7 | Five Point Holdings | 653.72 Mn | 682.48 Mn | -23.72 Mn |
| 8 | Tejon Ranch | 447.47 Mn | 382.45 Mn | - |
| 9 | Nam Tai Property | 260.36 Mn | 78.98 Mn | - |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104,000.00 |
| Mar 31, 2026 | 74,000.00 |
| Dec 31, 2025 | 413,000.00 |
| Sep 30, 2025 | 372,000.00 |
| Jun 30, 2025 | 646,000.00 |
| Mar 31, 2025 | 678,000.00 |
| Dec 31, 2024 | 504,000.00 |
| Sep 30, 2024 | 953,000.00 |
| Jun 30, 2024 | 887,000.00 |
| Mar 31, 2024 | 1.10 Mn |
| Dec 31, 2023 | 274,000.00 |
| Sep 30, 2023 | 1.61 Mn |
| Jun 30, 2023 | 1.77 Mn |
| Mar 31, 2023 | 1.92 Mn |
| Dec 31, 2022 | 131,000.00 |
| Sep 30, 2022 | 4.66 Mn |
| Jun 30, 2022 | 3.16 Mn |
| Mar 31, 2022 | 2.57 Mn |
| Dec 31, 2021 | 611,000.00 |
| Sep 30, 2021 | 4.38 Mn |
API Access
Texas Pacific Land Accumulated Expenses 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=accumulated-expenses&ticker=TPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();