Visa Inc. V

Revenue Intelligence Report • 72 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-03-31

Visa Inc.'s latest quarterly revenue is $11.2B for the period ending 2026-03-31. The model projects $48.6B across the next four quarters (+13.0% versus the preceding four quarters). The forecast uses G&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 1.6%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The GAM forecast is based on reported revenue and G&A data through 2026-03-31. 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
$48.6B
+13.0% YoY
G&A Elasticity
0.37x
Training Fit
2.7% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $11.05B vs the actual $11.23B — an error of 1.6%.
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.
Note: The current filings use G&A (GeneralAndAdministrativeExpense). Spending estimates refer to this expense measure, not separately reported SG&A.
Note: Visa Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

V Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-03-31
$11.05B $11.23B $9.84B–$12.41B +15.2% ✓ In range
Q3 FY2026
Period end 2026-06-30
$11.53B $10.10B–$13.16B +13.3%
Q4 FY2026
Period end 2026-09-30
$12.01B $10.31B–$14.00B +12.0%
Q1 FY2027
Period end 2026-12-31
$12.37B $10.39B–$14.72B +13.5%
Q2 FY2027
Period end 2027-03-31
$12.71B $10.42B–$15.48B +13.1%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Visa 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 (Oct–Dec) 1.0209 +2.1% In line with trend 18
FQ2 (Jan–Mar) 0.997 -0.3% In line with trend 17
FQ3 (Apr–Jun) 0.9971 -0.3% In line with trend 18
FQ4 (Jul–Sep) 1.0112 +1.1% In line with trend 18

Spending and Revenue

V 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 72 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current G&A elasticity: 0.0662x
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 -1.6%.

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