Equinix, Inc. EQIX

Revenue Intelligence Report • 69 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Equinix, Inc.'s latest quarterly revenue is $2.6B for the period ending 2026-06-30. The model projects $10.5B across the next four quarters (+6.6% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 6.4%. 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
$10.5B
+6.6% YoY
SG&A Elasticity
0.91x
Training Fit
1.5% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $2.46B vs the actual $2.62B — an error of 6.4%.
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: Equinix, Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

EQIX Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30		 $2.46B $2.62B $2.29B–$2.63B +8.9% ✓ In range
Q3 FY2026
Period end 2026-09-30		 $2.54B $2.34B–$2.75B +9.5%
Q4 FY2026
Period end 2026-12-31		 $2.64B $2.40B–$2.90B +9.0%
Q1 FY2027
Period end 2027-03-31		 $2.60B $2.35B–$2.89B +6.5%
Q2 FY2027
Period end 2027-06-30		 $2.68B $2.38B–$3.02B +2.1%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Equinix, 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) 0.9982 -0.2% In line with trend 17
FQ2 (Apr–Jun) 0.9961 -0.4% In line with trend 17
FQ3 (Jul–Sep) 1.0048 +0.5% In line with trend 17
FQ4 (Oct–Dec) 0.9971 -0.3% In line with trend 17

Spending and Revenue

EQIX 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 69 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.6469x
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 -6.4%.

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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: GAM; spending associations: ARDL (log-log) with 69 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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