What is SSNC's forecasted revenue?

Ss&c Technologies Holdings, Inc. is forecasted to generate $5.96B in next-four-quarter revenue, representing -9.2% year-over-year growth.

How accurate is the SSNC revenue forecast model?

The model has 3.0% training MAPE (Mean Absolute Percentage Error). In a holdout test, it predicted $1.6B versus the actual $1.7B.

Ss&c Technologies Holdings, Inc. SSNC

Revenue Intelligence Report • 65 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Ss&c Technologies Holdings, Inc.'s latest quarterly revenue is $1.7B for the period ending 2026-06-30. The model projects $6.0B across the next four quarters (-9.2% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 7.3%. 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

$5.96B

-9.2% YoY

R&D Elasticity

1.56x

SG&A Elasticity

0.87x

Training Fit

3.0% MAPE

Retrospective holdout (Q2 FY2026): The model predicted $1.57B vs the actual $1.70B — an error of 7.3%.
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.

Revenue Forecast

Quarterly Detail

Quarter	Model Forecast	Actual	95% Range	YoY Growth	Status
Q2 FY2026 Period end 2026-06-30	$1.57B	$1.70B	$1.42B–$1.74B	+2.2%	✓ In range
Q3 FY2026 Period end 2026-09-30	$1.48B		$1.28B–$1.71B	-5.6%
Q4 FY2026 Period end 2026-12-31	$1.52B		$1.28B–$1.81B	-8.0%
Q1 FY2027 Period end 2027-03-31	$1.51B		$1.24B–$1.85B	-8.0%
Q2 FY2027 Period end 2027-06-30	$1.44B		$1.15B–$1.81B	-14.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Ss&c Technologies Holdings, 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 Quarter	Seasonal Factor	vs Trend	Interpretation	Obs.
FQ1 (Jan–Mar)	0.9947	-0.5%	In line with trend	16
FQ2 (Apr–Jun)	1.0071	+0.7%	In line with trend	15
FQ3 (Jul–Sep)	1.0061	+0.6%	In line with trend	15
FQ4 (Oct–Dec)	0.9974	-0.3%	In line with trend	16

Spending and Revenue

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 65 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 0.2166x • R&D elasticity: 0.6382x
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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