Texas Pacific Land (TPL) Revenue (2019 - 2026)
Texas Pacific Land (TPL) recorded Revenue of $246.06 million in Q2 2026, up 31.2% from $187.54 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Texas Pacific Land (TPL) Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, Texas Pacific Land's Revenue came in at $897.54 million as of Jun 30, 2026, up 20.8% year-over-year; for FY2025, it came in at $798.19 million, up 13.1% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $705.82 million in FY2024 (+11.8%), $631.6 million in FY2023 (-5.4%), $667.42 million in FY2022 (+48.0%) and $450.96 million in FY2021 (+49.0%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q4 2019.
- On a year-over-year basis, Revenue has increased for 11 consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 98.1% in Q4 2021, against a decline of 17.3% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $236.82 million (Q1 2026), $211.58 million (Q4 2025) and $203.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 246.06 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 66.84 Mn |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | 196.85 Mn |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 158.83 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 78.50 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 883.00 Mn |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 407.00 Mn |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | 13.90 Mn |
| 10 | Tejon Ranch | 441.80 Mn | 376.78 Mn | - | 14.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.06 Mn |
| Mar 31, 2026 | 236.82 Mn |
| Dec 31, 2025 | 211.58 Mn |
| Sep 30, 2025 | 203.09 Mn |
| Jun 30, 2025 | 187.54 Mn |
| Mar 31, 2025 | 195.98 Mn |
| Dec 31, 2024 | 185.78 Mn |
| Sep 30, 2024 | 173.56 Mn |
| Jun 30, 2024 | 172.33 Mn |
| Mar 31, 2024 | 174.14 Mn |
| Dec 31, 2023 | 166.66 Mn |
| Sep 30, 2023 | 157.97 Mn |
| Jun 30, 2023 | 160.61 Mn |
| Mar 31, 2023 | 146.36 Mn |
| Dec 31, 2022 | 152.71 Mn |
| Sep 30, 2022 | 191.11 Mn |
| Jun 30, 2022 | 176.27 Mn |
| Mar 31, 2022 | 147.34 Mn |
| Dec 31, 2021 | 147.18 Mn |
| Sep 30, 2021 | 123.69 Mn |
API Access
Texas Pacific Land Revenue 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=revenue&ticker=TPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();