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Kemper KMPR Homeowners — Year 1

Other product segments

Specialty Personal Automobile Insurance—Physical Damage
94.7%+1.8%
Specialty Personal Automobile Insurance—Liability
37.2%-2.1%
Preferred Personal Automobile Insurance—Liability
30.8%+1.0%
Commercial Automobile Insurance—Liability
19.1%-11.2%

Similar metrics at other companies

Horace Mann Educators logo
HMNHomeowners — Year One
78.5%+0.3pp
Selective Insurance Group logo
SIGIHomeowners — Short-duration insurance contracts, Historical claims duration, year one
70.6%-0.6pp
Allstate logo
ALLHome Owners — 1 year
66.5%-0.1pp
Selective Insurance Group logo
SIGIHomeowners — Short-duration insurance contracts, historical claims duration, year two
23.5%+0.6pp
Everest Group logo
EGProperty Insurance — Year one
79.1%-0.1pp
Arch Capital Group logo
ACGLProperty catastrophe — Year One
-62.4%-21.7pp

Other financials

Income statement

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Revenue$1.1B-7.2%
Operating income$132.4M+440%
Net income-$1.7M-102%
EPS (diluted)-$0.03-102%

Balance sheet

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Cash & equivalents$92.6M-19.8%
Total debt$944.0M-5.3%
Total equity$2.6B+624%
Total assets$12.4B-0.5%

Cash flow

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Operating cash flow$88.8M-50.7%
CapEx$10.9M+41.6%
Free cash flow$77.9M-54.8%

Valuation

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Market cap$1.54B-58.0%

Profitability

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Net margin1.1%-6.3pp
FCF margin9.8%-0.3pp

Returns & leverage

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Return on equity3.3%-20.1pp
Debt / equity0.4×-2.4×

Where this comes from

Reported directly by Kemper in its filing.

Tagged under the XBRL concept us-gaap:ShortdurationInsuranceContractsHistoricalClaimsDurationYearOne.

The official record: Kemper’s 10-K, filed February 11, 2026, on SEC EDGAR. View the filing →

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Questions, answered.

What is Kemper's homeowners — year 1?
Kemper (KMPR) reported homeowners — year 1 of 67.5% in Q4 2025.
How has Kemper's homeowners — year 1 changed year-over-year?
Kemper's homeowners — year 1 increased by 0.7% year-over-year, from 67% to 67.5%.
What does homeowners — year 1 mean?
This metric represents the first year of development for a specific accident year cohort within the homeowners insurance segment. It is used in actuarial loss development triangles to track how claims estimates evolve shortly after the policy period ends. This data is essential for assessing the initial accuracy of loss reserving practices.