Texas Pacific Land (TPL) Other Operating Expenses (2020 - 2026)
Texas Pacific Land's Other Operating Expenses came in at $41.44 million for Q2 2026, up 22.6% from $33.8 million a year earlier and up 0.7% from the prior quarter.
Texas Pacific Land (TPL) Other Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Texas Pacific Land reported Other Operating Expenses of $178.21 million, up 61.2% year-over-year; for FY2025, it came in at $165.15 million, up 39.2% from FY2024.
- Other Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 72.6% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $118.6 million in FY2024 (+276.3%), $31.52 million in FY2023 (+260.9%), $8.74 million in FY2022 (+20.0%) and $7.28 million in FY2021 (-32.4%).
- The five-year range for quarterly Other Operating Expenses is $1.16 million (Q2 2022) to $51.41 million (Q4 2025).
- Year-over-year, Other Operating Expenses has increased for four consecutive quarters, with growth averaging 381.5% over the last seven quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2024 (growth of 968.1%), and the weakest in Q2 2024 (a decline of 77.3%).
- Business Quant data shows TPL's Other Operating Expenses at $41.16 million (Q1 2026), $51.41 million (Q4 2025) and $44.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.79 Bn | 22.61 Bn | - |
| 2 | St Joe | 3.97 Bn | 3.46 Bn | 73.42 Mn |
| 3 | Millrose Properties | 3.84 Bn | 3.47 Bn | - |
| 4 | LandBridge | 2.22 Bn | 2.09 Bn | 65.71 Mn |
| 5 | Opendoor Technologies | 2.02 Bn | -1.80 Bn | 86.00 Mn |
| 6 | Forestar | 1.31 Bn | -40.58 Mn | 84.10 Mn |
| 7 | Five Point Holdings | 659.65 Mn | -797.98 Mn | -23.72 Mn |
| 8 | Tejon Ranch | 438.42 Mn | 358.04 Mn | - |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.44 Mn |
| Mar 31, 2026 | 41.16 Mn |
| Dec 31, 2025 | 51.41 Mn |
| Sep 30, 2025 | 44.20 Mn |
| Jun 30, 2025 | 33.80 Mn |
| Mar 31, 2025 | 35.84 Mn |
| Dec 31, 2024 | 32.59 Mn |
| Sep 30, 2024 | 30.31 Mn |
| Jun 30, 2024 | 29.93 Mn |
| Mar 31, 2024 | 25.77 Mn |
| Dec 31, 2023 | -5.82 Mn |
| Sep 30, 2023 | 24.15 Mn |
| Jun 30, 2023 | 33.80 Mn |
| Mar 31, 2023 | 34.86 Mn |
| Dec 31, 2022 | 13.42 Mn |
| Sep 30, 2022 | 22.34 Mn |
| Jun 30, 2022 | 16.99 Mn |
| Mar 31, 2022 | 16.26 Mn |
| Dec 31, 2021 | 14.27 Mn |
| Sep 30, 2021 | 13.91 Mn |
Texas Pacific Land Other Operating Expenses 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=other-operating-expenses&ticker=TPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=TPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();