Mastercard Incorporated MA

Revenue Intelligence Report • 73 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Mastercard Incorporated's latest quarterly revenue is $9.3B for the period ending 2026-06-30. The model projects $42.6B across the next four quarters (+21.4% 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 2026-06-30. 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
$42.6B
+21.4% YoY
G&A Elasticity
1.00x
Training Fit
6.7% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $9.43B vs the actual $9.28B — 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: Mastercard Incorporated does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

MA Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$9.43B $9.28B $7.31B–$12.16B +15.9% ✓ In range
Q3 FY2026
Period end 2026-09-30
$9.96B $7.53B–$13.19B +15.8%
Q4 FY2026
Period end 2026-12-31
$10.56B $7.71B–$14.46B +19.9%
Q1 FY2027
Period end 2027-03-31
$10.78B $7.67B–$15.16B +28.4%
Q2 FY2027
Period end 2027-06-30
$11.29B $7.75B–$16.43B +21.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Mastercard Incorporated'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) 0.9792 -2.1% In line with trend 18
FQ2 (Apr–Jun) 1.0188 +1.9% In line with trend 18
FQ3 (Jul–Sep) 1.0425 +4.2% +4.2% above trend 18
FQ4 (Oct–Dec) 0.9814 -1.9% In line with trend 18

Spending and Revenue

MA 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 73 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current G&A elasticity: 0.4444x
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%.

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