MODEL VERDICT
Bitmine Immersion Technologies, Inc. (BMNR) — Relative Valuation
Peer multiples, Monte Carlo simulation & quality-adjusted fair value
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Peer multiples, Monte Carlo simulation & quality-adjusted fair value
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 |
|---|---|---|---|---|---|
| Feb 28, 2026 | MODERATE | 0.66 | $18.98 | CURRENT | — |
| Feb 21, 2026 | MODERATE | 0.66 | $20.13 | CURRENT | — |
| Feb 14, 2026 | MODERATE | 0.66 | $20.96 | CURRENT | — |
| Feb 11, 2026 | MODERATE | 0.66 | $19.95 | CURRENT | — |
| Jan 11, 2026 | MODERATE | 0.66 | $30.06 | Pending | -28.6% |
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 |
|---|---|---|---|---|---|
| Industry Median P/E 36 industry peers | $368.32 | +1840.6% | 30% | A | Peer Data |
| Price / Book 43 industry peers | $1293.09 | +6712.9% | 25% | B | Model Driven |
| Price / Tangible Book 40 bank peers | $1559.46 | +8116.3% | 20% | B+ | Bank Primary |
| Earnings Yield 37 industry peers | $372.50 | +1862.6% | 8% | B | Data |
| Weighted Output Blended model output | $143532.24 | +756128.8% | 100% | 72 | SIGNIFICANTLY UNDERVALUED |
| EPS Growth ↓ | P/E Multiple → | 4× (Current) | 4× | 4× | 4× | 5× |
|---|---|---|---|---|---|
| Bear Case (4%) | $56 | $56 | $56 | $56 | $70 |
| Conservative (7%) | $57 | $57 | $57 | $57 | $71 |
| Base Case (10.0%) | $59 | $59 | $59 | $59 | $74 |
| Bull Case (14%) | $61 | $61 | $61 | $61 | $76 |
Cross-sectional regression predicting expected multiples based on growth, margins, ROIC, and beta.
| Multiple | Avg | Median | Min | Max | Std |
|---|---|---|---|---|---|
| P/TBV | 1642.06 | 410.94 | 0.08 | 6988.43 | 2994.10 |
| P/B Ratio | 1639.98 | 410.94 | 0.08 | 6988.43 | 2995.14 |
| P/S Ratio | 3244.76 | 4300.30 | 109.20 | 6180.42 | 2765.74 |
Based on our peer multiples analysis with 10 valuation metrics, the model estimates BMNR's fair value at $143532.24 vs the current price of $18.98, implying +756128.8% upside potential. Model verdict: Significantly Undervalued. Confidence: 72/100. This is a quantitative estimate, not a recommendation.
The blended fair value of $143532.24 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 $8641.01 (P10) to $380064.44 (P90), with a median of $170084.67.
BMNR's current P/E of 1.4x compares to the industry median of 27.5x (36 peers in the group). This represents a -94.8% discount to the industry. The historical average P/E is N/Ax over 0 years. Signal: Deep Discount.
1 analysts cover BMNR with a consensus rating of Buy. The consensus price target is $39.00 (range: $39.00 — $39.00), implying +105.5% upside from the current price. Grade breakdown: Strong Buy (0), Buy (1), Hold (0), Sell (0), Strong Sell (0).
The model confidence score is 72/100, based on: data completeness (24), peer quality (25), historical depth (16), earnings stability (5), and model agreement (2). Cyclicality penalty: -0 points. The model shows strong 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 BMNR.
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.