The Campbell's Company CPB

Revenue Intelligence Report • 36 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-08-02

The Campbell's Company's latest quarterly revenue is $2.1B for the period ending 2026-08-02. The model projects $9.7B across the next four quarters (-0.8% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 7.5%. 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 2026-08-02. 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
$9.67B
-0.8% YoY
SG&A Elasticity
0.48x
Training Fit
3.9% MAPE
Retrospective holdout (Q4 FY2026): The model predicted $2.30B vs the actual $2.14B — an error of 7.5%.
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 Campbell's Company does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

CPB Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 FY2026
Period end 2026-08-02		 $2.30B $2.14B $2.08B–$2.53B -1.1% ✓ In range
Q1 FY2027
Period end 2026-11-02		 $2.58B $2.25B–$2.96B -3.7%
Q2 FY2027
Period end 2027-02-02		 $2.50B $2.11B–$2.95B -2.6%
Q3 FY2027
Period end 2027-05-02		 $2.31B $1.90B–$2.80B -2.5%
Q4 FY2027
Period end 2027-08-02		 $2.29B $1.84B–$2.84B +7.1%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture The Campbell's Company'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) 1.0213 +2.1% In line with trend 8
FQ2 (Dec–Feb) 1.0013 +0.1% In line with trend 8
FQ3 (Mar–May) 1.0013 +0.1% In line with trend 8
FQ4 (Jun–Aug) 0.9833 -1.7% In line with trend 7

Spending and Revenue

CPB 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 36 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.4159x
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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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: ARDL; spending associations: ARDL (log-log) with 36 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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