What is ODFL's forecasted revenue?

Old Dominion Freight Line, Inc. is forecasted to generate $5.11B in FY revenue, representing -7.0% year-over-year growth.

How accurate is the ODFL revenue forecast model?

The ARDL model achieves 2.3% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.3B versus the actual $1.3B.

Old Dominion Freight Line, Inc. ODFL

Revenue Intelligence Report • 36 quarters of SEC filing data • Updated 2026-03-15

ODFL's revenue of about $5.1B is forecast to decline roughly 7% year over year, as near-term demand remains soft, even as the long-run structural growth runway sits around 8% per year. The binding constraint on growth is delivery capacity—the fleet, facilities, and driver availability needed to absorb SG&A investment and translate it into higher volumes. Our econometric model shows about 8% structural/platform growth with roughly 92% of incremental topline coming from SG&A spending; SG&A elasticity has risen toward 1.4x, meaning each additional dollar of SG&A yields outsized revenue gains. The key risk is that capacity expansion lags demand, capping the upside from SG&A investments and leaving revenue growth vulnerable to external shocks such as labor constraints or regulatory changes.

Investment Thesis

Our ARDL model tracks Old Dominion Freight Line, Inc.'s revenue with exceptional precision (2.3% MAPE), indicating highly predictable cash flows. Sales & marketing spend shows a 1.40x elasticity, suggesting effective go-to-market execution.

Next FY Revenue

$5.11B

-7.0% YoY

SG&A Elasticity

1.40x

Model Accuracy

2.3% MAPE

Holdout validation: The model predicted $1.3B vs the actual $1.3B — an error of 0.5%.

Note: Old Dominion Freight Line, Inc. does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q4 2025	$1.3B	$1.3B	$1.2B – $1.4B	-6.1%	✓ In range
Q2 2026	$1.3B		$1.2B – $1.4B	-5.8%
Q3 2026	$1.3B		$1.2B – $1.4B	-6.0%
Q4 2026	$1.3B		$1.2B – $1.4B	-8.7%
Q1 2027	$1.2B		$1.1B – $1.3B	-7.4%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Old Dominion Freight Line, Inc.'s systematic quarterly revenue patterns relative to the trend model. A factor of 1.05 means that quarter typically runs 5% above the underlying trend; 0.95 means 5% below. Factors are computed as the median of (actual / fitted) across all available quarters.

Fiscal Quarter	Seasonal Factor	vs Trend	Interpretation	Obs.
FQ1 (Sep–Nov)	0.9925	-0.7%	In line with trend	9
FQ2 (Dec–Feb)	0.9827	-1.7%	In line with trend	9
FQ3 (Mar–May)	0.9888	-1.1%	In line with trend	8
FQ4 (Jun–Aug)	1.0278	+2.8%	In line with trend	9

How Spending Drives Revenue

Reading this chart: Each line shows the cumulative elasticity — how a 1% increase in spending translates to revenue growth over subsequent quarters. The effect builds over 4-5 quarters as investments compound.

Spending Efficiency Over Time

Time-varying analysis: A penalized spline model (GAM) tracks how the link between spending and revenue has evolved over 36 quarters. A falling elasticity means the company needs less incremental spending to sustain growth — a hallmark of operating leverage from platform scale, pricing power, or recurring-revenue streams. A rising elasticity means each percent of additional spending more readily drives revenue than before.
Current SG&A elasticity: 1.4713x

Enhanced forecast: The time-varying model (GAM) outperformed the fixed-coefficient ARDL on holdout validation (-0.5% error vs ARDL, R² = 0.987), so this report uses the GAM for its quarterly forecasts.

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