What is VEEV's forecasted revenue?

Veeva Systems Inc. is forecasted to generate $3.89B in next-four-quarter revenue, representing +12.6% year-over-year growth.

How accurate is the VEEV revenue forecast model?

The model has 1.5% training MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $0.9B versus the actual $0.9B.

Veeva Systems Inc. VEEV

Revenue Intelligence Report • 58 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-31

Veeva Systems Inc.'s latest quarterly revenue is $928M for the period ending 2026-07-31. The model projects $3.9B across the next four quarters (+12.6% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 2.9%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The GAM 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

$3.89B

+12.6% YoY

R&D Elasticity

0.55x

SG&A Elasticity

0.34x

Training Fit

1.5% MAPE

Retrospective holdout (Q2 FY2027): The model predicted $901.4M vs the actual $928.0M — an error of 2.9%.
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 2026-07-31	$901.4M	$928.0M	$824.4M–$985.6M	+14.2%	✓ In range
Q3 FY2027 Period end 2026-10-31	$926.4M		$844.5M–$1.02B	+14.2%
Q4 FY2027 Period end 2027-01-31	$957.1M		$858.3M–$1.07B	+14.5%
Q1 FY2028 Period end 2027-04-30	$991.0M		$873.1M–$1.12B	+12.2%
Q2 FY2028 Period end 2027-07-31	$1.02B		$858.7M–$1.21B	+9.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Veeva Systems 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)	0.991	-0.9%	In line with trend	15
FQ2 (May–Jul)	1.0021	+0.2%	In line with trend	14
FQ3 (Aug–Oct)	1.0074	+0.7%	In line with trend	14
FQ4 (Nov–Jan)	1.0018	+0.2%	In line with trend	14

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 58 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: -0.0097x • R&D elasticity: 0.1468x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

Enhanced forecast: The time-varying model (GAM) was selected using training fit, before evaluating the withheld quarter. Its holdout error is -2.9%.

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