MODEL VERDICT
Methode Electronics, Inc. (MEI)
Relative Valuation•Peer multiples, Monte Carlo simulation & quality-adjusted fair value
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Composite score derived from valuation, quality, and risk factors
Quantitative model thresholds · For educational and research purposes only
Each row records the model's monthly assessment. High Conviction = the model detected notable undervaluation vs peers. Neutral = no notable divergence was found. The return column shows the actual price change over 90 days for reference. This is a quantitative observation log — not investment advice.
| Date | Assessment | Score | Price | Status | 90d Fwd Return |
|---|---|---|---|---|---|
| May 8, 2026 | MODERATE | 0.65 | $9.63 | CURRENT | — |
| May 1, 2026 | MODERATE | 0.65 | $8.63 | CURRENT | — |
| Feb 21, 2026 | MODERATE | 0.65 | $8.76 | Pending | -11.6% |
| Feb 14, 2026 | MODERATE | 0.65 | $9.07 | Pending | -21.7% |
| Feb 11, 2026 | MODERATE | 0.65 | $9.04 | Pending | -23.8% |
Historical model observations for research purposes only. Past quantitative patterns do not predict future results. Not a recommendation to buy, sell, or hold any security.
| Methodology | Fair Value | vs Current | Weight | Quality | Status |
|---|---|---|---|---|---|
| EV To Revenue 9 industry peers | $122.11 | +1168.0% | 4% | B | Data |
| Price / Sales 9 industry peers | $119.91 | +1145.2% | 3% | B | Model Driven |
| Weighted Output Blended model output | $93.04 | +866.1% | 100% | 68 | SIGNIFICANTLY UNDERVALUED |
Cross-sectional regression predicting expected multiples based on growth, margins, ROIC, and beta.
| Multiple | Avg | Median | Min | Max | Std |
|---|---|---|---|---|---|
| P/E Ratio | 14.12 | 15.41 | 10.82 | 16.43 | 2.64 |
| EV/EBIT | 12.48 | 13.46 | 10.13 | 14.24 | 1.83 |
| EV/EBITDA | 10.29 | 10.62 | 7.25 | 13.74 | 2.30 |
| P/FCF | 18.51 | 15.17 | 9.21 | 28.40 | 8.92 |
| P/FFO | 9.54 | 10.84 | 6.60 | 10.99 | 1.96 |
| P/TBV | 3.48 | 3.55 | 0.84 | 7.74 | 2.38 |
| P/AFFO | 13.15 | 12.65 | 9.88 | 17.42 | 2.90 |
| P/B Ratio | 1.38 | 1.84 | 0.34 | 2.15 | 0.76 |
| Div Yield | 0.03 | 0.01 | 0.01 | 0.09 | 0.03 |
| P/S Ratio | 1.05 | 1.41 | 0.22 | 1.73 | 0.60 |
Based on our peer multiples analysis with 5 valuation metrics, the model estimates MEI's fair value at $93.04 vs the current price of $9.63, implying +866.1% upside potential. Model verdict: Significantly Undervalued. Confidence: 68/100. This is a quantitative estimate, not a recommendation.
The blended fair value of $93.04 is calculated using four lenses: industry median multiples (40%), historical multiples (30%), forward estimates (20%), and quality-adjusted multiples (10%). Monte Carlo simulation (10,000 iterations) gives a range of $61.15 (P10) to $145.56 (P90), with a median of $103.05.
MEI's current P/E of -5.5x compares to the industry median of 34.4x (6 peers in the group). This represents a -115.9% discount to the industry. The historical average P/E is 14.1x over 5 years. Signal: Deep Discount.
6 analysts cover MEI with a consensus rating of Hold. The consensus price target is $8.50 (range: $8.50 — $8.50), implying -11.7% upside from the current price. Grade breakdown: Strong Buy (0), Buy (2), Hold (4), Sell (0), Strong Sell (0).
The model confidence score is 68/100, based on: data completeness (9), peer quality (25), historical depth (20), earnings stability (12), and model agreement (2). Cyclicality penalty: -0 points. The model shows moderate agreement across inputs.
The model flags several key risks: (1) Macro/regulatory risks are not captured in this model but remain material.
Peak earnings risk data is not available for MEI.
No. This dashboard is a quantitative research tool for educational and informational purposes only. It is not investment advice, a solicitation, or a recommendation to buy, sell, or hold any security. The operator of this platform is not a registered investment advisor (RIA), broker-dealer, or financial planner. All model outputs, fair value estimates, signals, and scenarios are the result of automated quantitative computations and should not be construed as professional financial guidance. You should consult a qualified, licensed financial advisor before making any investment decisions. Past model performance is not indicative of future results.