News Corporation NWS

Revenue Intelligence Report • 56 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

News Corporation's latest quarterly revenue is $2.3B for the period ending 2026-06-30. The model projects $9.4B across the next four quarters (+4.1% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 5.3%. 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
$9.40B
+4.1% YoY
SG&A Multiplier
$2.99 per $1
Training Fit
6.8% MAPE
Retrospective holdout (Q4 FY2026): The model predicted $2.21B vs the actual $2.34B — an error of 5.3%.
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: News Corporation does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

NWS Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 FY2026
Period end 2026-06-30
$2.21B $2.34B $1.89B–$2.54B +5.0% ✓ In range
Q1 FY2027
Period end 2026-09-30
$2.30B $1.84B–$2.76B +7.2%
Q2 FY2027
Period end 2026-12-31
$2.37B $1.81B–$2.94B +0.5%
Q3 FY2027
Period end 2027-03-31
$2.37B $1.72B–$3.02B +8.3%
Q4 FY2027
Period end 2027-06-30
$2.36B $1.63B–$3.09B +0.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture News 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 (Jul–Sep) 0.9854 -1.5% In line with trend 13
FQ2 (Oct–Dec) 1.0252 +2.5% In line with trend 13
FQ3 (Jan–Mar) 0.9801 -2.0% In line with trend 13
FQ4 (Apr–Jun) 1.014 +1.4% In line with trend 12

Spending and Revenue

NWS 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 56 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 2.6964x
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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