Estee Lauder Companies Inc EL

Revenue Intelligence Report • 68 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Estee Lauder Companies Inc's latest quarterly revenue is $3.6B for the period ending 2026-06-30. The model projects $14.8B across the next four quarters (-1.6% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 6.2%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The ARDL forecast is based on reported revenue and SG&A data through 2026-06-30. Training MAPE measures fit to historical data; the separately reported holdout error measures a withheld quarter. Spending coefficients describe associations and do not establish causation.

Next 4 Quarters
$14.8B
-1.6% YoY
SG&A Elasticity
1.25x
Training Fit
3.6% MAPE
Retrospective holdout (Q4 FY2026): The model predicted $3.40B vs the actual $3.63B — an error of 6.2%.
Retrospective one-quarter holdout: model fitting and selection exclude this quarter. Historical inputs use the latest available restatements, so this is not a preserved real-time forecast.
Note: Estee Lauder Companies Inc does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

EL Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 FY2026
Period end 2026-06-30
$3.40B $3.63B $3.12B–$3.71B -0.3% ✓ In range
Q1 FY2027
Period end 2026-09-30
$3.49B $3.09B–$3.96B +0.4%
Q2 FY2027
Period end 2026-12-31
$4.22B $3.62B–$4.91B -0.2%
Q3 FY2027
Period end 2027-03-31
$3.71B $3.11B–$4.42B -0.1%
Q4 FY2027
Period end 2027-06-30
$3.39B $2.79B–$4.12B -6.6%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Estee Lauder Companies 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 (Jul–Sep) 1.0236 +2.4% In line with trend 16
FQ2 (Oct–Dec) 1.0069 +0.7% In line with trend 16
FQ3 (Jan–Mar) 1.0026 +0.3% In line with trend 16
FQ4 (Apr–Jun) 0.9823 -1.8% In line with trend 15

Spending and Revenue

EL Spending Timing
Reading this chart: Each line shows the cumulative revenue association with a 1% change in spending over subsequent quarters. These estimates describe historical associations and do not establish causation.

Time-Varying Spending Associations

Time-varying analysis: A penalized spline model (GAM) tracks the association between log spending and log revenue over 68 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 1.501x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

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