What is PSTG's forecasted revenue?

Everpure, Inc. is forecasted to generate $5.16B in next-four-quarter revenue, representing +21.1% year-over-year growth.

How accurate is the PSTG revenue forecast model?

The model has 4.3% training MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.1B versus the actual $1.2B.

Everpure, Inc. PSTG

Revenue Intelligence Report • 48 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-08-02

Everpure, Inc.'s latest quarterly revenue is $1.2B for the period ending 2026-08-02. The model projects $5.2B across the next four quarters (+21.1% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 4.6%. These are statistical associations, not estimates of the causal effect of spending.

This page retains the historical ticker PSTG. The SEC now lists Everpure, Inc. under P.

Investment Thesis

The ARDL forecast is based on reported revenue and SG&A data through 2026-08-02. 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

$5.16B

+21.1% YoY

R&D Elasticity

1.03x

SG&A Elasticity

1.26x

Training Fit

4.3% MAPE

Retrospective holdout (Q2 FY2027): The model predicted $1.13B vs the actual $1.19B — an error of 4.6%.
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.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q2 FY2027 Period end 2026-08-02	$1.13B	$1.19B	$1.01B–$1.27B	+31.3%	✓ In range
Q3 FY2027 Period end 2026-11-02	$1.21B		$1.02B–$1.42B	+25.1%
Q4 FY2027 Period end 2027-02-02	$1.19B		$970.9M–$1.45B	+12.0%
Q1 FY2028 Period end 2027-05-02	$1.32B		$1.05B–$1.66B	+25.4%
Q2 FY2028 Period end 2027-08-02	$1.45B		$1.12B–$1.88B	+22.2%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Everpure, 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 (Feb–Apr)	0.97	-3.0%	-3.0% below trend	10
FQ2 (May–Jul)	1.0137	+1.4%	In line with trend	11
FQ3 (Aug–Oct)	1.0109	+1.1%	In line with trend	11
FQ4 (Nov–Jan)	1.018	+1.8%	In line with trend	11

Spending and Revenue

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 48 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.829x • R&D elasticity: 0.5891x
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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