Xylem Inc. XYL

Revenue Intelligence Report • 61 quarters of SEC filing data • Updated 2026-03-15

With quarterly revenue around $2.397 billion, the log-log model shows SG&A spending has the stronger revenue elasticity: a 1% increase in SG&A is associated with about a 1.23% rise in revenue, while a 1% increase in R&D yields roughly a 0.12% increase. The predictive performance is solid, evidenced by a holdout forecast of $2.30B versus $2.40B actual (about 2.0% error) and an overall MAPE of 2.7%. This points to a higher ROI on SG&A investments relative to R&D, suggesting near-term gains from optimizing SG&A spend while continuing selective R&D to sustain long-term growth. The FY revenue outlook is $9.2B, up about 1.9% year over year, signaling steady growth as the company balances efficiency with ongoing investments in its product roadmap.

Investment Thesis

Our ARDL model tracks Xylem Inc.'s revenue with exceptional precision (2.7% MAPE), indicating highly predictable cash flows. R&D investment shows a 0.12x multiplier — each 1% increase in R&D spend is associated with a 0.12% revenue increase, signaling strong innovation-to-revenue conversion. Sales & marketing spend shows a 1.23x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$9.20B
+1.9% YoY
R&D Elasticity
0.12x
SG&A Elasticity
1.23x
Model Accuracy
2.7% MAPE
Holdout validation: The model predicted $2.3B vs the actual $2.4B — an error of 2.0%.

Revenue Forecast

XYL Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $2.3B $2.4B $2.2B – $2.5B +4.1% ✓ In range
Q2 2026 $2.2B $2.0B – $2.4B +6.7%
Q3 2026 $2.3B $2.0B – $2.5B -1.3%
Q4 2026 $2.3B $2.0B – $2.7B +2.9%
Q1 2027 $2.4B $2.1B – $2.8B -0.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Xylem 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 (Sep–Nov) 1.0129 +1.3% In line with trend 14
FQ2 (Dec–Feb) 1.0038 +0.4% In line with trend 15
FQ3 (Mar–May) 0.987 -1.3% In line with trend 14
FQ4 (Jun–Aug) 1.0157 +1.6% In line with trend 14

How Spending Drives Revenue

XYL Spending Timing
Reading this chart: Each line shows the cumulative elasticity — how a 1% increase in spending translates to revenue growth over subsequent quarters. The effect builds over 4-5 quarters as investments compound.

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Data sourced from SEC EDGAR XBRL filings. Model: ARDL (log-log) with 61 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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