Universal Health Services UHS State Medicaid Programs — Effect On Future Earnings Offset Amount

Similar metrics at other companies

CNCMedicaid — Liability for Unpaid Claims and Claims Adjustment Expense, Net

$11.4B+1.1%

ALKSMedicaid Rebate — Accrued Sales Discounts Allowances And Reserves

$189.03M-1.3%

HCAAdjustments To Estimated Medicare And Medicaid Reimbursement Amounts And Disproportionate Share Funds Resulting In Net Increases To Revenues Related To Cost Reports Filed During Respective Year

$7.75M-26.2%

MOHMedicaid — Liability for Claims and Claims Adjustment Expense

$3.82B+7.2%

MOHMedicaid — Liability for Unpaid Claims and Claims Adjustment Expense, Claims Paid, Prior Years

$2.69B-2.6%

MOHMedicaid — Prior years

-$153M+1.9%

Questions, answered.

What is Universal Health Services's state medicaid programs — effect on future earnings offset amount?

Universal Health Services (UHS) reported state medicaid programs — effect on future earnings offset amount of $157.75M in Q4 2025.

How has Universal Health Services's state medicaid programs — effect on future earnings offset amount changed year-over-year?

Universal Health Services's state medicaid programs — effect on future earnings offset amount increased by 17.7% year-over-year, from $134M to $157.75M.

What is the long-term trend for Universal Health Services's state medicaid programs — effect on future earnings offset amount?

Over 4 years (2021 to 2025), Universal Health Services's state medicaid programs — effect on future earnings offset amount has grown at a 31.5% compound annual growth rate (CAGR), from $211M to $631M.

What does state medicaid programs — effect on future earnings offset amount mean?

This metric represents the financial adjustment or accrual related to state-level Medicaid program participation that impacts future earnings projections. It reflects the net effect of supplemental payments, assessments, or regulatory adjustments that modify the expected profitability of Medicaid-related healthcare services. This figure is critical for understanding the volatility and regulatory risk inherent in government-sponsored healthcare reimbursement models.