International Business Machines Corporation IBM

Revenue Intelligence Report • 70 quarters of SEC filing data • Updated 2026-03-15

Revenue is driven by strong returns on operating spend, with the model indicating $6.45 of long-run revenue per $1 of R&D and $4.64 per $1 of SG&A. The linear model trained on 70 quarters shows moderate predictive accuracy (MAPE 17.5%), with a holdout test illustrating forecast risk: predicted $18B vs actual $20B, a 7% miss. The FY outlook calls for about $72B in revenue, up 6.2% year over year, reflecting the constructive growth path supported by the ROI of current spending. Investors should weigh the compelling ROI signals from R&D and SG&A against model uncertainty and external macro factors, as the forecast implies steady expansion but execution and demand conditions will matter.

Investment Thesis

At 17.5% MAPE, the model captures International Business Machines Corporation's broad revenue trajectory, though quarterly variability suggests sensitivity to external factors. Every $1 of R&D investment is associated with $6.45 of revenue, indicating efficient capital deployment in innovation. Each $1 of SG&A spending generates $4.64 in revenue, reflecting strong commercial efficiency.

Next FY Revenue
$71.7B
+6.2% YoY
R&D Multiplier
$6.45 per $1
SG&A Multiplier
$4.64 per $1
Model Accuracy
17.5% MAPE
Holdout validation: The model predicted $18B vs the actual $20B — an error of 7.0%.

Revenue Forecast

IBM Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $18B $20B $14B – $23B +4.3% ✓ In range
Q2 2026 $16B $10B – $23B +13.0%
Q3 2026 $18B $11B – $26B +7.7%
Q4 2026 $18B $9.4B – $27B +10.1%
Q1 2027 $19B $9.4B – $29B -3.6%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture International Business Machines Corporation'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) 1.0534 +5.3% +5.3% above trend 17
FQ2 (Dec–Feb) 1.0361 +3.6% +3.6% above trend 17
FQ3 (Mar–May) 0.9456 -5.4% -5.4% below trend 16
FQ4 (Jun–Aug) 1.0088 +0.9% In line with trend 16

How Spending Drives Revenue

IBM Spending Timing
Reading this chart: Each line shows the cumulative revenue generated per $1 spent over subsequent quarters. The effect builds over 4-5 quarters as investments mature.

Want this analysis for your portfolio?

I build custom revenue intelligence reports for investors and companies using SEC filing data, econometric modeling, and AI-powered insights.

Get in Touch

More in Technology

IT ADBE TYL UPWK STX KEYS RVTY TTD