Fair Isaac Corp FICO

Revenue Intelligence Report • 50 quarters of SEC filing data • Updated 2026-03-15

Revenue growth is driven primarily by SG&A spending, with a 1% increase in SG&A raising revenue by 0.80%, while a 1% increase in R&D reduces revenue by 0.51% in the model, implying ROI favors SG&A efficiency over R&D in the near term. The model is a log-log specification with 2.5% MAPE, and holdout testing yielded a forecast of $523M versus actual $512M, a -2.2% error, indicating solid but not perfect predictive accuracy. The FY forecast implies $2,604M in revenue, up 31.0% year over year, signaling strong top-line momentum if SG&A-driven growth persists, though the negative R&D elasticity raises questions about long-term ROI. Going forward, investors should scrutinize SG&A productivity and consider reallocating R&D to activities with clearer revenue impact to sustain the outlook.

Investment Thesis

Our ARDL model tracks Fair Isaac Corp's revenue with exceptional precision (2.5% MAPE), indicating highly predictable cash flows. R&D spending currently shows a negative elasticity (-0.51x), which can indicate heavy investment in long-cycle initiatives not yet reflected in revenue. Sales & marketing spend shows a 0.80x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$2.60B
+31.0% YoY
R&D Elasticity
-0.51x
SG&A Elasticity
0.80x
Model Accuracy
2.5% MAPE
Holdout validation: The model predicted $523B vs the actual $512B — an error of 2.2%.
⚠ Model limitation: This company shows negative spending multipliers, meaning increases in spending have not directly translated into revenue growth. This typically occurs with commodity-driven companies or hypergrowth companies.

Revenue Forecast

FICO Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 2025 $523B $512B $492B – $557B +16.9% ✓ In range
Q4 2025 $598B $548B – $653B +36.0%
Q1 2026 $631B $567B – $703B +26.6%
Q2 2026 $649B $574B – $735B +21.1%
Q3 2026 $725B $631B – $833B +41.6%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Fair Isaac Corp'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) 1.0 +0.0% In line with trend 0
FQ2 (Dec–Feb) 0.9956 -0.4% In line with trend 16
FQ3 (Mar–May) 1.0182 +1.8% In line with trend 15
FQ4 (Jun–Aug) 1.0074 +0.7% In line with trend 16

How Spending Drives Revenue

FICO 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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