Baker Hughes Co BKR

Revenue Intelligence Report • 40 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Baker Hughes Co's latest quarterly revenue is $6.7B for the period ending 2026-06-30. The model projects $23.7B across the next four quarters (-14.4% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 7.2%. These are statistical associations, not estimates of the causal effect of spending.

Investment Thesis

The GAM 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
$23.7B
-14.4% YoY
SG&A Elasticity
0.78x
Training Fit
4.6% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $6.26B vs the actual $6.74B — an error of 7.2%.
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: Baker Hughes Co does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

BKR Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $6.26B $6.74B $5.21B–$7.53B -9.4% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $6.40B $5.17B–$7.92B -8.7%
Q4 FY2026
Period end 2026-12-31		 $6.42B $4.97B–$8.29B -13.1%
Q1 FY2027
Period end 2027-03-31		 $5.58B $4.23B–$7.34B -15.3%
Q2 FY2027
Period end 2027-06-30		 $5.33B $3.91B–$7.28B -20.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Baker Hughes Co'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) 0.9574 -4.3% -4.3% below trend 10
FQ2 (Apr–Jun) 0.9827 -1.7% In line with trend 9
FQ3 (Jul–Sep) 1.0015 +0.2% In line with trend 10
FQ4 (Oct–Dec) 1.0333 +3.3% +3.3% above trend 10

Spending and Revenue

BKR 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 40 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.8555x
The model-term chart shows relative absolute term magnitudes. Its percentages are not shares of revenue or causal contributions to growth.
Enhanced forecast: The time-varying model (GAM) was selected using training fit, before evaluating the withheld quarter. Its holdout error is -7.2%.

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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: GAM; spending associations: ARDL (log-log) with 40 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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