Texas Pacific Land (TPL) Income Taxes Paid (2020 - 2026)
Texas Pacific Land (TPL) reported Income Taxes Paid of $19.72 million for Q3 2026, down 19.2% from $24.42 million a year earlier and down 57.5% from the prior quarter.
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Analysis
Texas Pacific Land (TPL) Income Taxes Paid (2020 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Texas Pacific Land's Income Taxes Paid came in at $103.22 million, down 9.4% year-over-year; for FY2025, it came in at $126.96 million, up 5.2% from FY2024.
- Income Taxes Paid has a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- By year, Income Taxes Paid came in at $120.67 million in FY2024 (+15.9%), $104.08 million in FY2023 (-31.5%), $151.96 million in FY2022 (+122.7%) and $68.22 million in FY2021 (+46.3%).
- Five-year quarterly Income Taxes Paid spans a low of $3,000 in Q1 2026 and a high of $66.56 million in Q2 2024.
- Year over year, Income Taxes Paid gained in 1 of the last six quarters, with an average decline of 5.3%.
- The high point for year-over-year Income Taxes Paid in five years was Q3 2022 (growth of 192.6%); the low point was Q3 2023 (a decline of 36.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $46.4 million (Q2 2026), $3,000 (Q1 2026) and $37.09 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn | 19.72 Mn |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn | - |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn | 9.01 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - | - |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - | -48.10 Mn |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn | - |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn | - |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.72 Mn |
| Jun 30, 2026 | 46.40 Mn |
| Mar 31, 2026 | 3,000.00 |
| Dec 31, 2025 | 37.09 Mn |
| Sep 30, 2025 | 24.42 Mn |
| Jun 30, 2025 | 65.45 Mn |
| Dec 31, 2024 | 24.02 Mn |
| Sep 30, 2024 | 30.09 Mn |
| Jun 30, 2024 | 66.56 Mn |
| Dec 31, 2023 | 29.10 Mn |
| Sep 30, 2023 | 30.59 Mn |
| Jun 30, 2023 | 44.40 Mn |
| Dec 31, 2022 | 36.35 Mn |
| Sep 30, 2022 | 48.29 Mn |
| Jun 30, 2022 | 61.32 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 24.11 Mn |
| Sep 30, 2021 | 16.50 Mn |
| Jun 30, 2021 | 27.61 Mn |
| Dec 31, 2020 | 10.90 Mn |
API Access
Texas Pacific Land Income Taxes Paid 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=income-taxes-paid&ticker=TPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();