Texas Pacific Land (TPL) Operating Margin (2020 - 2026)
Texas Pacific Land (TPL) recorded Operating Margin of 77.96% in Q2 2026, up 1.31 percentage points from 76.65% a year earlier and up 0.96 percentage points from the prior quarter.
Texas Pacific Land (TPL) Operating Margin (2020 - 2026) Analysis & Trends
On a TTM basis, Texas Pacific Land's Operating Margin came in at 74.92% as of Jun 30, 2026, down 0.96 percentage points year-over-year; for FY2025, it came in at 74.19%, down 2.20 percentage points from FY2024.
- Annual Operating Margin has declined for three straight years, though with a five-year change of +2.38 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 76.38% in FY2024 (-0.57 pp), 76.96% in FY2023 (-7.29 pp), 84.25% in FY2022 (+3.89 pp) and 80.36% in FY2021 (+8.55 pp).
- The Q2 2026 figure is the highest quarterly Operating Margin since Q1 2024.
- On a year-over-year basis, Operating Margin rose in three of the last eight quarters, with an average year-over-year change of -2.15 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 11.77 percentage points in Q2 2022, against a drop of 12.67 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 76.99% (Q1 2026), 70.54% (Q4 2025) and 73.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 77.96% |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 66.07% |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | 85.16% |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 34.49% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 91.08% |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -16.31% |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 11.25% |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | -325.18% |
| 10 | Tejon Ranch | 441.80 Mn | 376.78 Mn | - | 2.44% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.96% |
| Mar 31, 2026 | 76.99% |
| Dec 31, 2025 | 70.54% |
| Sep 30, 2025 | 73.41% |
| Jun 30, 2025 | 76.65% |
| Mar 31, 2025 | 76.57% |
| Dec 31, 2024 | 76.73% |
| Sep 30, 2024 | 73.36% |
| Jun 30, 2024 | 77.30% |
| Mar 31, 2024 | 78.12% |
| Dec 31, 2023 | 80.32% |
| Sep 30, 2023 | 80.37% |
| Jun 30, 2023 | 74.89% |
| Mar 31, 2023 | 71.71% |
| Dec 31, 2022 | 81.35% |
| Sep 30, 2022 | 84.80% |
| Jun 30, 2022 | 86.07% |
| Mar 31, 2022 | 84.37% |
| Dec 31, 2021 | 85.52% |
| Sep 30, 2021 | 83.46% |
Texas Pacific Land Operating Margin 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=operating-margin&ticker=TPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();