Natera, inc. NTRA

Revenue Intelligence Report • 49 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Natera, inc.'s latest quarterly revenue is $753M for the period ending 2026-06-30. The model projects $4.1B across the next four quarters (+51.3% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 10.7%. 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
$4.10B
+51.3% YoY
R&D Multiplier
$-4.19 per $1
SG&A Multiplier
$2.01 per $1
Training Fit
5.2% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $833.3M vs the actual $752.8M — an error of 10.7%.
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

NTRA Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$833.3M $752.8M $682.7M–$1.02B +52.5% ✓ In range
Q3 FY2026
Period end 2026-09-30
$893.0M $725.1M–$1.10B +50.8%
Q4 FY2026
Period end 2026-12-31
$932.2M $745.9M–$1.17B +40.1%
Q1 FY2027
Period end 2027-03-31
$1.05B $814.1M–$1.34B +50.1%
Q2 FY2027
Period end 2027-06-30
$1.22B $922.2M–$1.63B +62.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Natera, 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) 1.03 +3.0% In line with trend 12
FQ2 (Apr–Jun) 0.9836 -1.6% In line with trend 12
FQ3 (Jul–Sep) 0.9998 -0.0% In line with trend 12
FQ4 (Oct–Dec) 1.0028 +0.3% In line with trend 12

Spending and Revenue

NTRA Spending Timing
Reading this chart: Each line shows the cumulative revenue association per $1 of 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 49 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.34x • R&D elasticity: 0.0536x
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 10.7%.

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