International Paper Company IP

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

International Paper Company's latest quarterly revenue is $6.0B for the period ending 2026-06-30. The model projects $28.0B across the next four quarters (+15.7% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 12.4%. 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 2026-06-30. 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
$28.0B
+15.7% YoY
SG&A Multiplier
$11.01 per $1
Training Fit
16.3% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $6.75B vs the actual $6.00B — an error of 12.4%.
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: International Paper Company does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

IP Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$6.75B $6.00B $5.13B–$8.37B +9.9% ✓ In range
Q3 FY2026
Period end 2026-09-30
$6.58B $4.29B–$8.86B +5.7%
Q4 FY2026
Period end 2026-12-31
$7.12B $4.32B–$9.92B +18.6%
Q1 FY2027
Period end 2027-03-31
$6.85B $3.61B–$10.08B +14.6%
Q2 FY2027
Period end 2027-06-30
$7.47B $3.85B–$11.08B +24.4%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture International Paper 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 (Jan–Mar) 1.0262 +2.6% In line with trend 17
FQ2 (Apr–Jun) 1.0324 +3.2% +3.2% above trend 17
FQ3 (Jul–Sep) 1.0228 +2.3% In line with trend 17
FQ4 (Oct–Dec) 0.9858 -1.4% In line with trend 17

Spending and Revenue

IP 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 73 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: -0.2178x
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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