Steel Dynamics, Inc. STLD

Revenue Intelligence Report • 43 quarters of SEC filing data • Updated 2026-03-15

Using a log-log framework, revenue appears driven by SG&A spending with an elasticity of 1.15, meaning a 1% rise in SG&A is associated with about a 1.15% lift in revenue, so SG&A investments act as a lever for topline growth. The model achieves a 7.5% MAPE but exhibits holdout overprediction (predicted $4.9B vs actual $4.4B, -11.7%), signaling positive revenue leverage from spending with some forecast uncertainty. The implied ROI of SG&A spending is positive in terms of revenue contribution, but profitability depends on margins that the data provided do not reveal. The FY outlook shows revenue near $22B, up about 20.6% year over year, indicating strong growth momentum while prompting close monitoring of cost efficiency to translate top-line gains into earnings.

Investment Thesis

The econometric model achieves strong accuracy (7.5% MAPE), suggesting Steel Dynamics, Inc.'s revenue trajectory is well-characterized by its spending patterns. Sales & marketing spend shows a 1.15x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$21.9B
+20.6% YoY
SG&A Elasticity
1.15x
Model Accuracy
7.5% MAPE
Holdout validation: The model predicted $4.9B vs the actual $4.4B — an error of 11.7%.
Note: Steel Dynamics, Inc. does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

STLD Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $4.9B $4.4B $3.9B – $6.2B +27.3% ✓ In range
Q2 2026 $5.2B $3.8B – $7.1B +18.1%
Q3 2026 $5.4B $3.7B – $7.9B +17.6%
Q4 2026 $5.6B $3.6B – $8.7B +15.6%
Q1 2027 $5.8B $3.5B – $9.6B +31.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Steel Dynamics, 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 QuarterSeasonal Factorvs TrendInterpretationObs.
FQ1 (Sep–Nov) 1.003 +0.3% In line with trend 11
FQ2 (Dec–Feb) 0.9051 -9.5% -9.5% below trend 9
FQ3 (Mar–May) 1.0803 +8.0% +8.0% above trend 10
FQ4 (Jun–Aug) 1.0348 +3.5% +3.5% above trend 10

How Spending Drives Revenue

STLD Spending Timing
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.

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