Halliburton Company HAL

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

Halliburton Company's latest quarterly revenue is $5.7B for the period ending 2026-06-30. The model projects $21.5B across the next four quarters (-4.0% versus the preceding four quarters). The forecast uses G&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 6.5%. 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
$21.5B
-4.0% YoY
G&A Elasticity
1.41x
Training Fit
4.3% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $5.34B vs the actual $5.71B — an error of 6.5%.
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: Halliburton Company does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

HAL Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$5.34B $5.71B $4.69B–$6.09B -3.0% ✓ In range
Q3 FY2026
Period end 2026-09-30
$5.35B $4.44B–$6.44B -4.5%
Q4 FY2026
Period end 2026-12-31
$5.35B $4.27B–$6.72B -5.4%
Q1 FY2027
Period end 2027-03-31
$5.38B $4.14B–$6.99B -0.4%
Q2 FY2027
Period end 2027-06-30
$5.39B $4.02B–$7.23B -5.6%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Halliburton 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) 0.9687 -3.1% -3.1% below trend 17
FQ2 (Apr–Jun) 1.0232 +2.3% In line with trend 17
FQ3 (Jul–Sep) 1.0046 +0.5% In line with trend 17
FQ4 (Oct–Dec) 1.0165 +1.6% In line with trend 17

Spending and Revenue

HAL 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 73 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current G&A elasticity: 0.7961x
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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