3m Company MMM

Revenue Intelligence Report • 70 quarters of SEC filing data • Updated 2026-03-15

3m Company has a forecasted full-year revenue of $73B, a +193.5% year-over-year change, based on 70 quarters of SEC filing data. The ARDL model has 27.3% MAPE.

Investment Thesis

At 27.3% MAPE, the model captures 3m Company's broad revenue trajectory, though quarterly variability suggests sensitivity to external factors.

Next FY Revenue
$73.2B
+193.5% YoY
SG&A Elasticity
-2.67x
Model Accuracy
27.3% MAPE
Holdout validation: The model predicted $11B vs the actual $6.1B — an error of 79.9%.
⚠ Model limitation: This company shows negative spending multipliers, meaning increases in spending have not directly translated into revenue growth. This typically occurs with commodity-driven companies or hypergrowth companies.
Note: 3m Company does not report R&D expenses separately. This analysis uses SG&A spending only.
Investor insight: Actual revenue ($6.1B) came in 80% below the spending-based forecast ($11B). This suggests spending is not yet translating to revenue at historical rates.

Revenue Forecast

MMM Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $11B $6.1B $5.3B – $23B +83.6% ✓ In range
Q2 2026 $13B $4.6B – $36B +114.2%
Q3 2026 $17B $4.9B – $61B +174.4%
Q4 2026 $23B $5.4B – $100B +257.4%
Q1 2027 $20B $3.9B – $101B +222.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture 3m 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) 1.1553 +15.5% +15.5% above trend 17
FQ2 (Dec–Feb) 0.9305 -7.0% -7.0% below trend 17
FQ3 (Mar–May) 1.0049 +0.5% In line with trend 16
FQ4 (Jun–Aug) 1.0728 +7.3% +7.3% above trend 16

How Spending Drives Revenue

MMM Spending Timing
Reading this chart: Each line shows the cumulative elasticity — how a 1% increase in spending translates to revenue growth over subsequent quarters. The effect builds over 4-5 quarters as investments compound.

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