Texas Pacific Land Corporation TPL

Revenue Intelligence Report • 24 quarters of SEC filing data • Updated 2026-03-15

Revenue is largely driven by SG&A efficiency, with the model implying that each dollar of SG&A spending yields about $2.10 of long-run revenue, based on 24 quarters of linear data. The model achieves 5.3% MAPE and on holdout testing predicted 206M versus actual 212M, a 2.6% error, indicating credible short-term forecasting. The FY revenue forecast is 763M, down 4.4% year over year. Investors should note the strong SG&A ROI supports revenue generation even as the year shows a modest top-line decline, making ongoing SG&A efficiency and other revenue sources key to sustaining growth.

Investment Thesis

The econometric model achieves strong accuracy (5.3% MAPE), suggesting Texas Pacific Land Corporation's revenue trajectory is well-characterized by its spending patterns. Each $1 of SG&A spending generates $2.10 in revenue, reflecting strong commercial efficiency.

Next FY Revenue
$762.8M
-4.4% YoY
SG&A Multiplier
$2.10 per $1
Model Accuracy
5.3% MAPE
Holdout validation: The model predicted $206M vs the actual $212M — an error of 2.6%.
Note: Texas Pacific Land Corporation does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

TPL Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $206M $212M $185M – $227M +10.9% ✓ In range
Q2 2026 $194M $164M – $223M -1.1%
Q3 2026 $192M $156M – $229M +2.5%
Q4 2026 $194M $152M – $235M -4.7%
Q1 2027 $183M $136M – $230M -13.4%

How Spending Drives Revenue

TPL Spending Timing
Reading this chart: Each line shows the cumulative revenue generated per $1 spent over subsequent quarters. The effect builds over 4-5 quarters as investments mature.

Want this analysis for your portfolio?

I build custom revenue intelligence reports for investors and companies using SEC filing data, econometric modeling, and AI-powered insights.

Get in Touch