MODEL VERDICT
inTEST Corporation (INTT) — 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
| Methodology | Fair Value | vs Current | Weight | Quality | Status |
|---|---|---|---|---|---|
| Forward P/E 69 analyst estimates | $10.24 | -2.8% | 20% | A- | Analyst Est. |
| EV/EBITDA 57 industry peers | $4.02 | -61.9% | 20% | A- | Peer Data |
| Industry Median P/E 46 industry peers | $10.96 | +4.0% | 15% | A | Peer Data |
| Price / Free Cash Flow 53 industry peers | $10.24 | -2.8% | 15% | B+ | Peer Data |
| EV/EBIT 51 industry peers | $11.78 | +11.8% | 8% | B+ | Peer Data |
| EV/FCF 60 industry peers | $10.17 | -3.5% | 7% | B | Model Driven |
| Peg Ratio 27 industry peers | $0.66 | -93.7% | 5% | B | Data |
| EV To Revenue 87 industry peers | $70.50 | +568.9% | 4% | B | Data |
| Price / Sales 87 industry peers | $58.79 | +457.8% | 3% | B | Model Driven |
| Earnings Yield 48 industry peers | $11.74 | +11.4% | 2% | B | Data |
| FCF Yield 60 industry peers | $10.71 | +1.6% | 1% | B | Data |
| Weighted Output Blended model output | $14.13 | +34.1% | 100% | 69 | SIGNIFICANTLY UNDERVALUED |
| EPS Growth ↓ | P/E Multiple → | 36× | 40× | 44× (Current) | 48× | 52× |
|---|---|---|---|---|---|
| Bear Case (2%) | $9 | $10 | $11 | $12 | $13 |
| Conservative (5%) | $9 | $10 | $11 | $12 | $13 |
| Base Case (1.8%) | $9 | $10 | $11 | $12 | $13 |
| Bull Case (2%) | $9 | $10 | $11 | $12 | $13 |
Cross-sectional regression predicting expected multiples based on growth, margins, ROIC, and beta.
| Multiple | Avg | Median | Min | Max | Std |
|---|---|---|---|---|---|
| P/E Ratio | 22.18 | 19.92 | 13.21 | 35.79 | 8.09 |
| EV/EBIT | 146.40 | 16.72 | 3.79 | 934.59 | 347.64 |
| EV/EBITDA | 14.81 | 12.24 | 6.49 | 32.47 | 9.57 |
| P/FCF | 19.94 | 13.86 | 7.28 | 42.10 | 14.20 |
| P/FFO | 14.14 | 12.61 | 8.48 | 29.21 | 6.83 |
| P/TBV | 4.71 | 3.58 | 2.46 | 11.62 | 3.15 |
| P/AFFO | 18.40 | 14.47 | 9.46 | 41.06 | 10.92 |
| P/B Ratio | 1.61 | 1.49 | 1.05 | 2.49 | 0.44 |
| P/S Ratio | 1.11 | 1.02 | 0.80 | 1.61 | 0.29 |
Based on our peer multiples analysis with 28 valuation metrics, the model estimates INTT's fair value at $14.13 vs the current price of $10.54, implying +34.1% upside potential. Model verdict: Significantly Undervalued. Confidence: 69/100. This is a quantitative estimate, not a recommendation.
The blended fair value of $14.13 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 $9.66 (P10) to $18.12 (P90), with a median of $13.24.
INTT's current P/E of 43.9x compares to the industry median of 45.7x (46 peers in the group). This represents a -3.8% discount to the industry. The historical average P/E is 22.2x over 6 years. Signal: Fair Value.
5 analysts cover INTT with a consensus rating of Buy. The consensus price target is $8.00 (range: $8.00 — $8.00), implying -24.1% upside from the current price. Grade breakdown: Strong Buy (0), Buy (5), Hold (0), Sell (0), Strong Sell (0).
The model confidence score is 69/100, based on: data completeness (27), peer quality (25), historical depth (20), earnings stability (8), and model agreement (4). Cyclicality penalty: --15 points. The model shows moderate agreement across inputs.
The model flags several key risks: (1) Multiple compression: INTT trades at the 4780th percentile of its historical P/E range. A reversion to median (22.2×) would imply significant downside. (2) Macro/regulatory risks are not captured in this model but remain material.
Peak earnings risk data is not available for INTT.
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.