Prudential Financial Inc PRU

Revenue Intelligence Report • 45 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Prudential Financial Inc's latest quarterly revenue is $15.7B for the period ending 2026-06-30. The model projects $65.6B across the next four quarters (+1.3% versus the preceding four quarters). The forecast uses G&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 8.8%. 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
$65.6B
+1.3% YoY
G&A Multiplier
$2.32 per $1
Training Fit
11.8% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $14.28B vs the actual $15.66B — an error of 8.8%.
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: Prudential Financial Inc does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

PRU Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$14.28B $15.66B $9.86B–$18.70B +4.0% ✓ In range
Q3 FY2026
Period end 2026-09-30
$16.76B $10.51B–$23.01B -6.3%
Q4 FY2026
Period end 2026-12-31
$17.57B $9.91B–$25.22B +12.0%
Q1 FY2027
Period end 2027-03-31
$16.30B $7.46B–$25.14B +5.0%
Q2 FY2027
Period end 2027-06-30
$14.95B $5.07B–$24.84B -4.5%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Prudential Financial 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) 0.9829 -1.7% In line with trend 10
FQ2 (Apr–Jun) 1.0184 +1.8% In line with trend 10
FQ3 (Jul–Sep) 1.0592 +5.9% +5.9% above trend 10
FQ4 (Oct–Dec) 0.9422 -5.8% -5.8% below trend 10

Spending and Revenue

PRU 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 45 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current G&A elasticity: 2.0342x
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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