What is FDX's forecasted revenue?

Fedex Corporation is forecasted to generate $92.7B in FY revenue, representing +3.2% year-over-year growth.

How accurate is the FDX revenue forecast model?

The ARDL model achieves 1.2% MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $23B versus the actual $23B.

Fedex Corporation FDX

Revenue Intelligence Report • 53 quarters of SEC filing data • Updated 2026-03-15

Revenue is forecast to grow about 3.2% year over year, supported by structural/platform growth and selective SG&A investments that add incremental lift. Our econometric model indicates the binding constraint on further revenue expansion is network delivery capacity rather than spend. Elasticities appear modest and structural growth is meaningful, so platform scale and pricing power are the main engines while SG&A acts more as maintenance. The SG&A multiplier has fallen from roughly 1.53 to 0.61 across the sample, underscoring rising operating leverage and the shift toward non-spend drivers of growth. Key risk to the outlook is sustained capacity constraints—delivery and hub throughput—during peak periods or in supply-chain shocks, which could cap upside beyond the 3% baseline.

Investment Thesis

Our ARDL model tracks Fedex Corporation's revenue with exceptional precision (1.2% MAPE), indicating highly predictable cash flows. Each $1 of SG&A spending generates $2.98 in revenue, reflecting strong commercial efficiency.

Next FY Revenue

$92.7B

+3.2% YoY

SG&A Multiplier

$2.98 per $1

Model Accuracy

1.2% MAPE

Holdout validation: The model predicted $23B vs the actual $23B — an error of 1.4%.

Note: Fedex Corporation 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	$23B	$23B	$22B – $24B	+7.2%	✓ In range
Q1 2026	$23B		$21B – $24B	+3.0%
Q2 2026	$23B		$21B – $25B	+2.9%
Q3 2026	$23B		$21B – $26B	+4.7%
Q4 2026	$24B		$22B – $27B	+2.1%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Fedex Corporation'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)	1.0065	+0.7%	In line with trend	17
FQ2 (Dec–Feb)	0.9989	-0.1%	In line with trend	16
FQ3 (Mar–May)	1.0	+0.0%	In line with trend	0
FQ4 (Jun–Aug)	1.0023	+0.2%	In line with trend	16

How Spending Drives Revenue

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.

Spending Efficiency Over Time

Time-varying analysis: A penalized spline model (GAM) tracks how the link between spending and revenue has evolved over 53 quarters. A rising multiplier means each dollar of spending drives more revenue over time, signaling improving efficiency. A falling multiplier can indicate market saturation or rising cost-to-acquire.
Current SG&A multiplier: 0.613

Enhanced forecast: The time-varying model (GAM) outperformed the fixed-coefficient ARDL on holdout validation (-1.4% error vs ARDL, R² = 0.996), so this report uses the GAM for its quarterly forecasts.

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