MODEL VERDICT
LiveRamp Holdings, Inc. (RAMP)
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 | MODERATE | 0.65 | $30.21 | CURRENT | — |
| Apr 24, 2026 | MODERATE | 0.66 | $29.25 | CURRENT | — |
| Apr 17, 2026 | MODERATE | 0.66 | $28.78 | CURRENT | — |
| Apr 16, 2026 | MODERATE | 0.66 | $27.36 | CURRENT | — |
| Apr 10, 2026 | MODERATE | 0.66 | $25.75 | 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 6 analyst estimates | $49.66 | +64.4% | 20% | A- | Analyst Est. |
| EV/EBITDA 6 industry peers | $23.51 | -22.2% | 20% | A- | Peer Data |
| Price / Free Cash Flow 6 industry peers | $32.75 | +8.4% | 15% | B+ | Peer Data |
| EV/EBIT 5 industry peers | $7.39 | -75.5% | 8% | B+ | Peer Data |
| EV/FCF 6 industry peers | $36.84 | +21.9% | 7% | B | Model Driven |
| EV To Revenue 7 industry peers | $35.76 | +18.4% | 4% | B | Data |
| Price / Sales 7 industry peers | $33.82 | +11.9% | 3% | B | Model Driven |
| FCF Yield 6 industry peers | $31.78 | +5.2% | 1% | B | Data |
| Weighted Output Blended model output | $39.12 | +29.5% | 100% | 70 | UNDERVALUED |
Cross-sectional regression predicting expected multiples based on growth, margins, ROIC, and beta.
| Multiple | Avg | Median | Min | Max | Std |
|---|---|---|---|---|---|
| P/FCF | 31.50 | 20.86 | 12.79 | 71.51 | 26.95 |
| P/FFO | 70.72 | 88.19 | 3.39 | 120.59 | 60.52 |
| P/TBV | 4.44 | 4.63 | 2.38 | 6.66 | 1.36 |
| P/AFFO | 80.00 | 107.80 | 3.42 | 128.78 | 67.15 |
| P/B Ratio | 2.67 | 2.71 | 1.50 | 4.56 | 0.97 |
| P/S Ratio | 6.55 | 4.21 | 2.65 | 13.03 | 4.55 |
Based on our peer multiples analysis with 19 valuation metrics, the model estimates RAMP's fair value at $39.12 vs the current price of $30.21, implying +29.5% upside potential. Model verdict: Undervalued. Confidence: 70/100. This is a quantitative estimate, not a recommendation.
The blended fair value of $39.12 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 $32.36 (P10) to $49.32 (P90), with a median of $40.32.
RAMP's current P/E of -2496.7x compares to the industry median of 36.9x (5 peers in the group). This represents a -6864.3% discount to the industry. The historical average P/E is N/Ax over 0 years. Signal: Deep Discount.
12 analysts cover RAMP with a consensus rating of Buy. The consensus price target is $44.00 (range: $35.00 — $53.00), implying +45.6% upside from the current price. Grade breakdown: Strong Buy (1), Buy (9), Hold (2), Sell (0), Strong Sell (0).
The model confidence score is 70/100, based on: data completeness (18), peer quality (25), historical depth (20), 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 RAMP.
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.