Ati Inc. ATI

Revenue Intelligence Report • 12 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-28

Ati Inc.'s latest quarterly revenue is $1.3B for the period ending 2026-06-28. The model projects $4.8B across the next four quarters (+2.8% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 6.1%. 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 2026-06-28. 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
$4.85B
+2.8% YoY
SG&A Multiplier
$6.78 per $1
Training Fit
2.0% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $1.18B vs the actual $1.26B — an error of 6.1%.
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: Ati Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

ATI Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-28
$1.18B $1.26B $1.10B–$1.28B +3.8% ✓ In range
Q3 FY2026
Period end 2026-09-28
$1.20B $1.09B–$1.31B +6.2%
Q4 FY2026
Period end 2026-12-28
$1.20B $1.06B–$1.37B +2.3%
Q1 FY2027
Period end 2027-03-28
$1.22B $1.11B–$1.34B +5.7%
Q2 FY2027
Period end 2027-06-28
$1.23B $1.12B–$1.35B -2.5%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Ati 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) 0.9821 -1.8% In line with trend 3
FQ2 (Apr–Jun) 1.0074 +0.7% In line with trend 2
FQ3 (Jul–Sep) 0.9779 -2.2% In line with trend 3
FQ4 (Oct–Dec) 1.0098 +1.0% In line with trend 3

Spending and Revenue

ATI 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 12 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.0112x
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 -6.1%.

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