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MTG

MGIC InvestmentC
NYSE / Financial Services
Last Price
At close
2026-06-11
View Chart
Current thesis
The strongest confirmed positives into the print are capital return and capital flexibility: the April 23, 2026 repurchase authorization/dividend update and previously disclosed reinsurance actions support downside absorption if credit stays benign. Direct private-mortgage-insurance peers such as ESNT, RDN, and NMIH are better comparison points than broad financial-services names, but no peer-revision data was available in the packet.
Posture
Mixed
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta -0.2.
What can break
As of April 29, 2026, the Q1 2026 earnings release/results filing was not yet confirmed in sources checked, so immediate estimate, guidance, and reaction risk is unresolved.
Momentum
34
Value
61
Sentiment
56
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $27.50 · Bull $31.00 · Bear $24.50
Data freshness
Prices
As of 2026-06-11
Fundamentals
As of 2026-06-10 • Vendor: Data Vendor v1
Scores
As of 2026-06-11 • Model: HYBRID_IC_RP
AI Memo
As of 2026-04-29 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-06-11
Supporting evidence
What
Grade C · Mixed
Confidence Medium · Net Neutral
Target $28.42
Why
Momentum34 · Δ7d +7.3
Value61 · Δ7d -0.2
Sentiment56 · Δ7d -7.8
So what
Balanced signals (Net Neutral). Wait for confirmation before sizing up.
Lead driver: Value · See fundamentals
Momentum
34
34% active weight
Current posture
7d trendFlat
Δ7d
+7.3
Δ21d
-3.8
Value
61
32% active weight
Current posture
7d trendFlat
Δ7d
-0.2
Δ21d
+0.2
Sentiment
56
33% active weight
Current posture
7d trendSoftening
Δ7d
-7.8
Δ21d
+2.0
Why this grade

Composite grade C. Momentum 33.8 / Value 61.3 / Sentiment 56.3

Fundamentals (TTM)
As of 2026-06-10
Market Cap
$5.44B
Beta
0.83
Shares Out
223.74M
P/E (TTM)
9.5
P/S (TTM)
5.44
P/FCF (TTM)
9.85
Rev YoY
-0.7%
EPS YoY
+7.7%
Gross Margin
-
Op Margin
+81.1%
Net Debt
$415.18M
Current Ratio
-
As of 2026-06-11 • Updated nightlySource: Internal modelMethodology