Coupang, Inc. CPNG

Revenue Intelligence Report • 26 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Coupang, Inc.'s latest quarterly revenue is $8.9B for the period ending 2026-06-30. The model projects $40.2B across the next four quarters (+13.4% versus the preceding four quarters). The forecast uses G&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 9.3%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The ARDL forecast is based on reported revenue and G&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
$40.2B
+13.4% YoY
G&A Elasticity
0.78x
Training Fit
1.7% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $9.68B vs the actual $8.86B — an error of 9.3%.
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 current filings use G&A (GeneralAndAdministrativeExpense). Spending estimates refer to this expense measure, not separately reported SG&A.
Note: Coupang, Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

CPNG Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$9.68B $8.86B $9.25B–$10.12B +13.5% ✗ Outside range
Q3 FY2026
Period end 2026-09-30
$10.38B $9.75B–$11.05B +12.0%
Q4 FY2026
Period end 2026-12-31
$9.41B $8.71B–$10.16B +6.5%
Q1 FY2027
Period end 2027-03-31
$9.36B $8.57B–$10.24B +10.1%
Q2 FY2027
Period end 2027-06-30
$11.08B $10.03B–$12.23B +25.1%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Coupang, 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 (Jan–Mar) 0.9975 -0.2% In line with trend 6
FQ2 (Apr–Jun) 0.9879 -1.2% In line with trend 5
FQ3 (Jul–Sep) 1.02 +2.0% In line with trend 5
FQ4 (Oct–Dec) 0.996 -0.4% In line with trend 6

Spending and Revenue

CPNG 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 26 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current G&A elasticity: 0.3284x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.

Want this analysis for your portfolio?

I build custom revenue intelligence reports for investors and companies using SEC filing data, econometric modeling, and AI-powered insights.

Get in Touch