Hewlett Packard Enterprise Company HPE

Revenue Intelligence Report • 43 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-31

Hewlett Packard Enterprise Company's latest quarterly revenue is $12.2B for the period ending 2026-07-31. The model projects $56.0B across the next four quarters (+33.8% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 2.1%. 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 2026-07-31. 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
$56.0B
+33.8% YoY
SG&A Elasticity
1.22x
Training Fit
3.7% MAPE
Retrospective holdout (Q3 FY2026): The model predicted $11.96B vs the actual $12.21B — an error of 2.1%.
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: Hewlett Packard Enterprise Company does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

HPE Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 FY2026
Period end 2026-07-31		 $11.96B $12.21B $10.90B–$13.12B +30.9% ✓ In range
Q4 FY2026
Period end 2026-10-31		 $12.52B $10.99B–$14.27B +29.4%
Q1 FY2027
Period end 2027-01-31		 $13.11B $11.17B–$15.38B +40.9%
Q2 FY2027
Period end 2027-04-30		 $14.48B $12.03B–$17.42B +35.6%
Q3 FY2027
Period end 2027-07-31		 $15.91B $12.93B–$19.56B +30.2%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Hewlett Packard Enterprise Company'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 (Nov–Jan) 0.9848 -1.5% In line with trend 10
FQ2 (Feb–Apr) 0.9825 -1.8% In line with trend 10
FQ3 (May–Jul) 1.0145 +1.5% In line with trend 9
FQ4 (Aug–Oct) 1.0036 +0.4% In line with trend 10

Spending and Revenue

HPE 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 43 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.599x
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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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: ARDL; spending associations: ARDL (log-log) with 43 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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