Bloom Energy Corporation BE

Revenue Intelligence Report • 37 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-03-31

Bloom Energy Corporation's latest quarterly revenue is $746M for the period ending 2026-03-31. The model projects $4.7B across the next four quarters (+91.5% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 13.5%. 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 2026-03-31. 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
$4.65B
+91.5% YoY
R&D Elasticity
-9.95x
SG&A Elasticity
-4.63x
Training Fit
9.9% MAPE
Retrospective holdout (Q1 FY2026): The model predicted $645.4M vs the actual $746.4M — an error of 13.5%.
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.
⚠ Model limitation: One or more estimated spending associations are negative. These observational coefficients do not establish a causal return on spending.

Revenue Forecast

BE Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q1 FY2026
Period end 2026-03-31
$645.4M $746.4M $505.1M–$824.8M +102.2% ✓ In range
Q2 FY2026
Period end 2026-06-30
$971.3M $686.7M–$1.37B +145.1%
Q3 FY2026
Period end 2026-09-30
$1.02B $665.1M–$1.56B +98.1%
Q4 FY2026
Period end 2026-12-31
$1.24B $757.4M–$2.02B +60.0%
Q1 FY2027
Period end 2027-03-31
$1.43B $824.8M–$2.47B +91.2%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Bloom Energy 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 (Jan–Mar) 0.987 -1.3% In line with trend 8
FQ2 (Apr–Jun) 0.9995 -0.1% In line with trend 8
FQ3 (Jul–Sep) 0.9465 -5.3% -5.3% below trend 8
FQ4 (Oct–Dec) 1.0222 +2.2% In line with trend 8

Spending and Revenue

BE 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 37 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 1.6723x • R&D elasticity: -1.2887x
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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