Agilent Technologies, Inc. A

Revenue Intelligence Report • 51 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-07-31

Agilent Technologies, Inc.'s latest quarterly revenue is $1.9B for the period ending 2026-07-31. The model projects $8.6B across the next four quarters (+16.1% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 5.2%. 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 2026-07-31. 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
$8.56B
+16.1% YoY
R&D Elasticity
-0.51x
SG&A Elasticity
1.54x
Training Fit
2.1% MAPE
Retrospective holdout (Q3 FY2026): The model predicted $1.98B vs the actual $1.88B — an error of 5.2%.
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.
⚠ Model limitation: One or more estimated spending associations are negative. These observational coefficients do not establish a causal return on spending.

Revenue Forecast

A Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q3 FY2026
Period end 2026-07-31		 $1.98B $1.88B $1.88B–$2.08B +13.7% ✓ In range
Q4 FY2026
Period end 2026-10-31		 $2.04B $1.90B–$2.20B +9.7%
Q1 FY2027
Period end 2027-01-31		 $2.11B $1.93B–$2.31B +17.4%
Q2 FY2027
Period end 2027-04-30		 $2.17B $1.96B–$2.40B +18.2%
Q3 FY2027
Period end 2027-07-31		 $2.24B $2.00B–$2.51B +19.3%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Agilent Technologies, 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 (Nov–Jan) 1.0015 +0.1% In line with trend 12
FQ2 (Feb–Apr) 0.9985 -0.1% In line with trend 12
FQ3 (May–Jul) 1.0029 +0.3% In line with trend 11
FQ4 (Aug–Oct) 1.0198 +2.0% In line with trend 12

Spending and Revenue

A 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 51 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.7575x • R&D elasticity: -0.0644x
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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Data sourced from SEC EDGAR XBRL filings. SEC source data. Forecast model: ARDL; spending associations: ARDL (log-log) with 51 quarters. This analysis is for informational purposes only and does not constitute investment advice.

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