The Hartford Insurance Group, Inc. HIG

Revenue Intelligence Report • 26 quarters of SEC filing data • Updated 2026-03-15

Revenue is driven by SG&A investments, with a log-log elasticity of 1.25, meaning a 1% increase in SG&A spending is associated with a 1.25% rise in revenue, indicating marketing and sales spend is a key growth lever. The model shows strong predictive accuracy, with a 2.3% MAPE and a holdout test predicting 7.3B revenue to within 0.1% of actual, reinforcing the reliability of the SG&A–revenue link. The FY outlook calls for about $31B in revenue, up 8.4% year over year, signaling solid top-line growth ahead. ROI on SG&A appears favorable given elasticity above 1, implying incremental SG&A investments can yield outsized revenue gains, though profitability will hinge on underwriting results and expense efficiency; the model supports using this framework for scenario planning and investment decisions.

Investment Thesis

Our ARDL model tracks The Hartford Insurance Group, Inc.'s revenue with exceptional precision (2.3% MAPE), indicating highly predictable cash flows. Sales & marketing spend shows a 1.25x elasticity, suggesting effective go-to-market execution.

Next FY Revenue
$30.8B
+8.4% YoY
SG&A Elasticity
1.25x
Model Accuracy
2.3% MAPE
Holdout validation: The model predicted $7.3B vs the actual $7.3B — an error of 0.1%.
Note: The Hartford Insurance Group, Inc. does not report R&D expenses separately. This analysis uses SG&A spending only.

Revenue Forecast

HIG Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q4 2025 $7.3B $7.3B $6.9B – $7.8B +6.8% ✓ In range
Q2 2026 $7.5B $6.8B – $8.2B +9.7%
Q3 2026 $7.6B $6.8B – $8.5B +8.9%
Q4 2026 $7.8B $6.8B – $8.8B +7.3%
Q1 2027 $7.9B $6.8B – $9.1B +7.9%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture The Hartford Insurance Group, 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 (Sep–Nov) 1.0164 +1.6% In line with trend 7
FQ2 (Dec–Feb) 1.0242 +2.4% In line with trend 6
FQ3 (Mar–May) 0.9785 -2.1% In line with trend 6
FQ4 (Jun–Aug) 1.0112 +1.1% In line with trend 6

How Spending Drives Revenue

HIG Spending Timing
Reading this chart: Each line shows the cumulative elasticity — how a 1% increase in spending translates to revenue growth over subsequent quarters. The effect builds over 4-5 quarters as investments compound.

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