Best Buy Co., Inc. BBY

Revenue Intelligence Report • 54 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-08-01

Best Buy Co., Inc.'s latest quarterly revenue is $9.8B for the period ending 2026-08-01. The model projects $42.0B across the next four quarters (-0.5% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 1.9%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The ARDL forecast is based on reported revenue and SG&A data through 2026-08-01. 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
$42.0B
-0.5% YoY
SG&A Elasticity
1.41x
Training Fit
2.8% MAPE
Retrospective holdout (Q2 FY2027): The model predicted $9.59B vs the actual $9.78B — an error of 1.9%.
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: Best Buy Co., Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

BBY Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2027
Period end 2026-08-01
$9.59B $9.78B $8.89B–$10.35B +1.6% ✓ In range
Q3 FY2027
Period end 2026-11-01
$9.61B $8.63B–$10.71B -0.6%
Q4 FY2027
Period end 2027-02-01
$13.84B $12.13B–$15.80B +0.2%
Q1 FY2028
Period end 2027-05-01
$8.87B $7.62B–$10.34B -0.7%
Q2 FY2028
Period end 2027-08-01
$9.65B $8.14B–$11.45B -1.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Best Buy Co., 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 (Feb–Apr) 0.9991 -0.1% In line with trend 13
FQ2 (May–Jul) 0.9823 -1.8% In line with trend 12
FQ3 (Aug–Oct) 1.0 -0.0% In line with trend 12
FQ4 (Nov–Jan) 1.0086 +0.9% In line with trend 12

Spending and Revenue

BBY 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 54 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 1.9501x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

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