Labcorp Holdings Inc. LH

Revenue Intelligence Report • 73 quarters of SEC filing data • Updated 2026-10-14 • Data through 2026-06-30

Labcorp Holdings Inc.'s latest quarterly revenue is $3.7B for the period ending 2026-06-30. The model projects $12.4B across the next four quarters (-13.3% versus the preceding four quarters). The forecast uses SG&A data; model selection and estimation exclude the latest quarter, whose retrospective holdout error is 10.3%. 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
$12.4B
-13.3% YoY
SG&A Elasticity
1.33x
Training Fit
10.5% MAPE
Retrospective holdout (Q2 FY2026): The model predicted $3.35B vs the actual $3.73B — an error of 10.3%.
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.
Note: Labcorp Holdings Inc. does not report R&D expenses separately. The model uses the available expense measure without a separate R&D term.

Revenue Forecast

LH Revenue Forecast

Quarterly Detail

QuarterModel ForecastActual95% RangeYoY GrowthStatus
Q2 FY2026
Period end 2026-06-30
$3.35B $3.73B $2.03B–$5.51B -5.1% ✓ In range
Q3 FY2026
Period end 2026-09-30
$3.14B $1.88B–$5.26B -11.8%
Q4 FY2026
Period end 2026-12-31
$3.03B $1.78B–$5.16B -13.9%
Q1 FY2027
Period end 2027-03-31
$3.09B $1.79B–$5.32B -12.6%
Q2 FY2027
Period end 2027-06-30
$3.18B $1.83B–$5.54B -14.7%

Seasonal Factors

Multiplicative seasonal adjustment: These factors capture Labcorp 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 QuarterSeasonal Factorvs TrendInterpretationObs.
FQ1 (Jan–Mar) 1.0144 +1.4% In line with trend 18
FQ2 (Apr–Jun) 0.9609 -3.9% -3.9% below trend 18
FQ3 (Jul–Sep) 0.9612 -3.9% -3.9% below trend 18
FQ4 (Oct–Dec) 0.9461 -5.4% -5.4% below trend 18

Spending and Revenue

LH 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 73 quarters. Its coefficients describe conditional historical associations, not causal returns on spending.
Current SG&A elasticity: 1.1852x
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 -10.3%.

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