MODEL VERDICT
PROS Holdings, Inc. (PRO)
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 1, 2026 | NEUTRAL | 0.17 | $23.25 | CURRENT | — |
| Apr 24, 2026 | NEUTRAL | 0.17 | $23.25 | CURRENT | — |
| Apr 17, 2026 | NEUTRAL | 0.17 | $23.25 | CURRENT | — |
| Apr 16, 2026 | NEUTRAL | 0.17 | $23.25 | CURRENT | — |
| Apr 10, 2026 | NEUTRAL | 0.17 | $23.25 | CURRENT | — |
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 |
|---|---|---|---|---|---|
| Forward P/E 8 analyst estimates | $14.44 | -37.9% | 20% | A- | Analyst Est. |
| Price / Free Cash Flow 8 industry peers | $11.87 | -48.9% | 15% | B+ | Peer Data |
| EV/FCF 8 industry peers | $8.15 | -64.9% | 7% | B | Model Driven |
| EV To Revenue 8 industry peers | $22.17 | -4.6% | 4% | B | Data |
| Price / Sales 8 industry peers | $25.64 | +10.3% | 3% | B | Model Driven |
| FCF Yield 8 industry peers | $11.93 | -48.7% | 1% | B | Data |
| Weighted Output Blended model output | $14.14 | -39.2% | 100% | 67 | SIGNIFICANTLY OVERVALUED |
Cross-sectional regression predicting expected multiples based on growth, margins, ROIC, and beta.
| Multiple | Avg | Median | Min | Max | Std |
|---|---|---|---|---|---|
| P/B Ratio | 119.97 | 19.25 | 14.61 | 426.78 | 204.55 |
| P/S Ratio | 6.13 | 5.89 | 3.13 | 9.63 | 2.34 |
Based on our peer multiples analysis with 14 valuation metrics, the model estimates PRO's fair value at $14.14 vs the current price of $23.25, implying -39.2% downside potential. Model verdict: Significantly Overvalued. Confidence: 67/100. This is a quantitative estimate, not a recommendation.
The blended fair value of $14.14 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 $12.56 (P10) to $16.62 (P90), with a median of $14.55.
PRO's current P/E of -54.1x compares to the industry median of 28.0x (7 peers in the group). This represents a -292.8% discount to the industry. The historical average P/E is N/Ax over 0 years. Signal: Deep Discount.
20 analysts cover PRO with a consensus rating of Buy. The consensus price target is $29.05 (range: $22.00 — $39.00), implying +24.9% upside from the current price. Grade breakdown: Strong Buy (0), Buy (10), Hold (10), Sell (0), Strong Sell (0).
The model confidence score is 67/100, based on: data completeness (15), peer quality (25), historical depth (20), earnings stability (5), 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 PRO.
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.