Hormel Foods Corporation HRL

Revenue Intelligence Report • 62 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-26

Hormel Foods Corporation's latest quarterly revenue is $3.0B for the period ending 2026-07-26. The model projects $12.3B across the next four quarters (+1.5% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 4.0%. 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 2026-07-26. 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
$12.3B
+1.5% YoY
SG&A Multiplier
$1.43 per $1
Training Fit
3.5% MAPE
Retrospective holdout (Q3 FY2026): The model predicted $3.08B vs the actual $2.96B — an error of 4.0%.
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: Hormel Foods Corporation does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

HRL Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 FY2026
Period end 2026-07-26
$3.08B $2.96B $2.81B–$3.35B +1.5% ✓ In range
Q4 FY2026
Period end 2026-10-26
$3.18B $2.80B–$3.56B -0.3%
Q1 FY2027
Period end 2027-01-26
$3.07B $2.60B–$3.54B +1.4%
Q2 FY2027
Period end 2027-04-26
$2.97B $2.43B–$3.51B -0.0%
Q3 FY2027
Period end 2027-07-26
$3.11B $2.50B–$3.71B +4.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Hormel Foods 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 (Nov–Jan) 0.9689 -3.1% -3.1% below trend 14
FQ2 (Feb–Apr) 0.9814 -1.9% In line with trend 15
FQ3 (May–Jul) 1.0043 +0.4% In line with trend 14
FQ4 (Aug–Oct) 1.0319 +3.2% +3.2% above trend 14

Spending and Revenue

HRL Spending Timing
Reading this chart: Each line shows the cumulative revenue association per $1 of 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 62 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: -0.1005x
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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