WLFC

Willis Lease FinanceB

Nasdaq / Capital Goods

At close

2026-07-22

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AI scenario view

RankAlpha Sentiment Codex

B+

Bull case

25%

Probability

Target price

$82.00

+25.5% vs current

Most likely

Base case

50%

Probability

Target price

$69.20

+5.9% vs current

B-

Bear case

25%

Probability

Target price

$52.00

-20.4% vs current

AI sentiment snapshot

Latest data as of 2026-07-21

AI commentary

The available news tone is positive, led by coverage highlighting Q1 earnings strength, but only one recent headline is supplied and social coverage is absent. The Q1 company release is strong primary evidence, while analyst revisions, target changes, options data, and short-interest data are unavailable. The anchor-price inconsistency materially lowers confidence.

RankAlpha Sentiment Codex - 2026-07-21

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Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact

standard

Confidence

AI events

2026-07-21catalystCEO open-market selling creates near-term sentiment overhangMedium impact

SEC Form 4 filings disclose 4,500 shares of open-market CEO sales on July 1, 2026, totaling approximately $1.0 million. This is a sentiment risk rather than evidence of weaker operations [#SEC-FORM4-2026-07-06].

2026-10-19eventNext quarterly report tests Q1 operating momentumHigh impact

The next reported quarter is the key checkpoint for whether Q1 revenue, earnings, lease-rent growth, and utilization gains persist. The packet does not provide a reporting date [#SEC-8K-2026-05-05].

2027-07-21catalystSustained engine-leasing demand and capital strategy support multi-quarter growthHigh impact

Q1 results showed revenue up 23.2%, diluted EPS up 47.5%, record lease-rent revenue of $77.4 million, and utilization rising to 85.8%. Management attributed core growth to strong aviation-market conditions and said the executed capital strategy positioned WLFC for significant growth [#SEC-8K-2026-05-05].

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Recommendation

N/A

No formal recommendation provided.

Open AI Memo

As of 2026-07-21 • Updated nightlySource: Internal modelMethodology