Texas Pacific Land (TPL) Depreciation and Depletion (2020 - 2026)
Texas Pacific Land (TPL) reported Depreciation and Depletion of $4.8 million for Q2 2026, up 11.6% from $4.3 million a year earlier and up 2.1% from the prior quarter.
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Analysis
Texas Pacific Land (TPL) Depreciation and Depletion (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Texas Pacific Land's Depreciation and Depletion came in at $18.2 million, up 16.7% year-over-year; for FY2025, it came in at $17.1 million, up 25.7% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $13.6 million in FY2024 (+11.5%), $12.2 million in FY2023 (-14.1%), $14.2 million in FY2022 (-4.1%) and $14.8 million in FY2021 (+7.2%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q1 2020.
- Year over year, Depreciation and Depletion has now increased in each of the last eight quarters, with growth averaging 22.4% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q4 2024 (growth of 34.5%); the low point was Q4 2022 (a decline of 28.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.7 million (Q1 2026), $4.5 million (Q4 2025) and $4.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.22 Bn | 22.04 Bn | - | 4.80 Mn |
| 2 | Eason Technology | 6.48 Bn | 6.48 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.55 Bn | 65.71 Mn | - |
| 4 | Millrose Properties | 3.89 Bn | 3.89 Bn | - | - |
| 5 | St Joe | 3.72 Bn | 3.22 Bn | 73.42 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.82 Bn | 2.82 Bn | - | 600,000.00 |
| 7 | Opendoor Technologies | 2.32 Bn | -1.49 Bn | 86.00 Mn | - |
| 8 | Forestar | 1.33 Bn | -21.59 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 677.43 Mn | 706.20 Mn | -23.72 Mn | - |
| 10 | Tejon Ranch | 445.58 Mn | 380.56 Mn | - | 6,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.80 Mn |
| Mar 31, 2026 | 4.70 Mn |
| Dec 31, 2025 | 4.50 Mn |
| Sep 30, 2025 | 4.20 Mn |
| Jun 30, 2025 | 4.30 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 3.90 Mn |
| Sep 30, 2024 | 3.40 Mn |
| Jun 30, 2024 | 3.20 Mn |
| Mar 31, 2024 | 3.10 Mn |
| Dec 31, 2023 | 2.90 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 3.20 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 2.80 Mn |
| Sep 30, 2022 | 3.60 Mn |
| Jun 30, 2022 | 3.90 Mn |
| Mar 31, 2022 | 3.80 Mn |
| Dec 31, 2021 | 3.90 Mn |
| Sep 30, 2021 | 3.70 Mn |
API Access
Texas Pacific Land Depreciation and Depletion 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=depreciation-and-depletion&ticker=TPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();