Rb Global, Inc. RBA

Revenue Intelligence Report • 42 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Rb Global, Inc.'s latest quarterly revenue is $1.3B for the period ending 2026-06-30. The model projects $7.2B across the next four quarters (+48.7% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 11.6%. 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
$7.21B
+48.7% YoY
SG&A Elasticity
1.73x
Training Fit
7.8% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $1.47B vs the actual $1.32B — an error of 11.6%.
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: Rb Global, Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

RBA Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$1.47B $1.32B $1.20B–$1.80B +23.9% ✓ In range
Q3 FY2026
Period end 2026-09-30
$1.51B $1.14B–$2.02B +38.5%
Q4 FY2026
Period end 2026-12-31
$2.10B $1.48B–$2.98B +74.4%
Q1 FY2027
Period end 2027-03-31
$1.47B $980.0M–$2.20B +19.0%
Q2 FY2027
Period end 2027-06-30
$2.13B $1.35B–$3.35B +61.5%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Rb Global, 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) 0.9782 -2.2% In line with trend 10
FQ2 (Apr–Jun) 1.0324 +3.2% +3.2% above trend 9
FQ3 (Jul–Sep) 0.9975 -0.2% In line with trend 9
FQ4 (Oct–Dec) 0.9768 -2.3% In line with trend 9

Spending and Revenue

RBA 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 42 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 1.8631x
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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