Servicenow, Inc. NOW

Revenue Intelligence Report • 61 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Servicenow, Inc.'s latest quarterly revenue is $4.0B for the period ending 2026-06-30. The model projects $17.5B across the next four quarters (+19.0% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 2.2%. 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
$17.5B
+19.0% YoY
R&D Elasticity
0.25x
SG&A Elasticity
-0.17x
Training Fit
1.0% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $3.90B vs the actual $3.99B — an error of 2.2%.
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.
⚠ Model limitation: One or more estimated spending associations are negative. These observational coefficients do not establish a causal return on spending.

Revenue Forecast

NOW Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $3.90B $3.99B $3.80B–$4.00B +21.3% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $4.06B $3.92B–$4.21B +19.2%
Q4 FY2026
Period end 2026-12-31		 $4.31B $4.12B–$4.50B +20.8%
Q1 FY2027
Period end 2027-03-31		 $4.48B $4.26B–$4.71B +18.8%
Q2 FY2027
Period end 2027-06-30		 $4.68B $4.42B–$4.95B +17.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Servicenow, 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 (Jan–Mar) 1.0019 +0.2% In line with trend 14
FQ2 (Apr–Jun) 1.0014 +0.1% In line with trend 14
FQ3 (Jul–Sep) 1.0015 +0.2% In line with trend 14
FQ4 (Oct–Dec) 0.9997 -0.0% In line with trend 14

Spending and Revenue

NOW 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 61 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: -0.0108x • R&D elasticity: -0.013x
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 61 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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