Texas Pacific Land (TPL) EBIT (2019 - 2026)
Texas Pacific Land (TPL) recorded EBIT of $191.82 million in Q2 2026, up 33.4% from $143.75 million a year earlier and up 5.2% from the prior quarter.
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Analysis
Texas Pacific Land (TPL) EBIT (2019 - 2026) Analysis & Trends
On a TTM basis, Texas Pacific Land's EBIT came in at $672.48 million as of Jun 30, 2026, up 19.3% year-over-year; for FY2025, it came in at $592.16 million, up 9.8% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 22.2% (FY2020 to FY2025).
- Across earlier years, EBIT came in at $539.14 million in FY2024 (+10.9%), $486.05 million in FY2023 (-13.6%), $562.31 million in FY2022 (+55.2%) and $362.39 million in FY2021 (+66.8%).
- The Q2 2026 figure is the highest quarterly EBIT in data going back to Q4 2019.
- On a year-over-year basis, EBIT has increased for 11 consecutive quarters, with growth averaging 12.7% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 127.9% in Q4 2021, against a decline of 21.7% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $182.33 million (Q1 2026), $149.25 million (Q4 2025) and $149.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 191.82 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 44.16 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | 167.63 Mn |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 54.77 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 71.50 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | -144.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 45.80 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | -45.21 Mn |
| 10 | Tejon Ranch | 443.42 Mn | 378.40 Mn | - | 348,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.82 Mn |
| Mar 31, 2026 | 182.33 Mn |
| Dec 31, 2025 | 149.25 Mn |
| Sep 30, 2025 | 149.09 Mn |
| Jun 30, 2025 | 143.75 Mn |
| Mar 31, 2025 | 150.07 Mn |
| Dec 31, 2024 | 142.54 Mn |
| Sep 30, 2024 | 127.33 Mn |
| Jun 30, 2024 | 133.22 Mn |
| Mar 31, 2024 | 136.04 Mn |
| Dec 31, 2023 | 133.86 Mn |
| Sep 30, 2023 | 126.96 Mn |
| Jun 30, 2023 | 120.28 Mn |
| Mar 31, 2023 | 104.95 Mn |
| Dec 31, 2022 | 124.23 Mn |
| Sep 30, 2022 | 162.06 Mn |
| Jun 30, 2022 | 151.71 Mn |
| Mar 31, 2022 | 124.31 Mn |
| Dec 31, 2021 | 125.86 Mn |
| Sep 30, 2021 | 103.24 Mn |
API Access
Texas Pacific Land EBIT 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=ebit&ticker=TPL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();