VSE Corporation Tangible Equity Units (VSECU) — AI-Powered Stock Analysis & Research

Quantitative analysis for VSE Corporation Tangible Equity Units (VSECU): AI-powered alpha score, Benjamin Graham intrinsic value, ML-based forecast, technical and fundamental signals, and insider activity.

Key Quantitative Facts

At-a-Glance Metrics

Current Q-Score verdict: Unrated (50.0). 25 signals analyzed (22 differentiated alt-data).

Recent Price Action & History

Trading Data & Technical Analysis

VSECU stock price is tracked daily for technical and fundamental analysis. The data below shows recent trading activity used in trend analysis, momentum calculation, and entry/exit signals.

DateHighLowClose
2026-05-05$48.87$45.11$47.21
2026-05-15$46.20$45.95$45.95
2026-05-28$48.20$46.14$47.06
2026-06-09$47.98$45.23$47.98
2026-06-22$56.20$54.35$55.61
2026-07-02$58.99$57.72$58.51
2026-07-15$58.63$52.55$52.55
2026-07-27$54.29$51.48$52.17
2026-08-06$60.69$56.69$56.69
2026-08-19$58.67$57.93$58.15
2026-08-31$57.00$53.69$53.77
2026-09-11$49.98$49.98$49.98

Key Analysis Points for VSE Corporation Tangible Equity Units

What Drove VSECU's Score

VSE Corporation Tangible Equity Units (VSECU) scores Unrated (50.0), with every measured dimension at or below 53. The weakest are technicals at 29, across 2 measured dimensions. See Q-Score methodology for how these dimensions are weighted and combined.

Q-Score dimensions, normalized 0-100
DimensionScore
competitive moat53
technicals29

Signal Diversity

StoQuant analyzes 25 signals (22 alt-data). Alternative data sources (FDA approvals, GitHub activity, SEC filings, App Store ratings) complement traditional financial metrics.

What StoQuant Measures for VSECU

Core Signals & Metrics

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Knowledge Base & Methodology

All StoQuant signals are explained in our knowledge base:

Compare & Research Tools

Direct Comparisons

Broader Research Tools

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Platform Overview

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Disclaimer & Methodology

How StoQuant Works

StoQuant research is generated algorithmically using public market data, SEC filings, news feeds, and proprietary ML models. Not investment advice. Past performance does not guarantee future results.

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