Texas Pacific Land (TPL) Return on Assets [ROA] (2021 - 2026)
Texas Pacific Land (TPL) posted Return on Assets [ROA] of 30.54% for Q3 2026, down 1.98 percentage points from 32.52% a year earlier but up 0.55 percentage points from the prior quarter.
Texas Pacific Land (TPL) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Texas Pacific Land's Return on Assets [ROA] came in at 33.53%, down 4.23 percentage points from FY2024.
- Annual Return on Assets [ROA] has declined for three consecutive years, though with a five-year change of +3.43 percentage points (FY2020 to FY2025).
- In prior years, Texas Pacific Land's Return on Assets [ROA] was 37.76% in FY2024 (-2.13 pp), 39.89% in FY2023 (-14.50 pp), 54.38% in FY2022 (+13.96 pp) and 40.43% in FY2021 (+10.33 pp).
- Quarterly Return on Assets [ROA] has run from a low of 29.85% in Q1 2026 to a high of 56.82% in Q3 2022 over five years.
- On a year-over-year basis, Return on Assets [ROA] has declined in each of the last seven quarters, with an average year-over-year change of -2.75 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q3 2022, with a gain of 21.36 percentage points; the weakest was Q3 2023, with a drop of 19.12 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 29.99% (Q2 2026), 29.85% (Q1 2026) and 30.58% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn | 30.54% |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn | 6.68% |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn | 1.06% |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - | 4.94% |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn | 8.02% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - | 10.11% |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn | -1.07% |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - | 4.38% |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn | -49.22% |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn | 2.46% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.54% |
| Jun 30, 2026 | 29.99% |
| Mar 31, 2026 | 29.85% |
| Dec 31, 2025 | 30.58% |
| Sep 30, 2025 | 32.52% |
| Jun 30, 2025 | 33.48% |
| Mar 31, 2025 | 35.38% |
| Dec 31, 2024 | 37.46% |
| Sep 30, 2024 | 36.02% |
| Jun 30, 2024 | 34.77% |
| Mar 31, 2024 | 35.89% |
| Dec 31, 2023 | 36.29% |
| Sep 30, 2023 | 37.71% |
| Jun 30, 2023 | 42.58% |
| Mar 31, 2023 | 47.47% |
| Dec 31, 2022 | 52.32% |
| Sep 30, 2022 | 56.82% |
| Jun 30, 2022 | 50.18% |
| Mar 31, 2022 | 42.57% |
| Dec 31, 2021 | 40.71% |
Texas Pacific Land Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=TPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();