MODEL VERDICT
ON24, Inc. (ONTF)
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 | 0.15 | $8.10 | CURRENT | — |
| Apr 24, 2026 | NEUTRAL | 0.15 | $8.10 | CURRENT | — |
| Apr 17, 2026 | NEUTRAL | 0.15 | $8.10 | CURRENT | — |
| Apr 16, 2026 | NEUTRAL | 0.15 | $8.10 | CURRENT | — |
| Apr 10, 2026 | NEUTRAL | 0.16 | $8.10 | 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 5 analyst estimates | $2.55 | -68.5% | 20% | A- | Analyst Est. |
| Price / Free Cash Flow 5 industry peers | $1.74 | -78.5% | 15% | B+ | Peer Data |
| EV/FCF 5 industry peers | $2.48 | -69.4% | 7% | B | Model Driven |
| EV To Revenue 5 industry peers | $13.30 | +64.2% | 4% | B | Data |
| Price / Sales 5 industry peers | $12.74 | +57.3% | 3% | B | Model Driven |
| FCF Yield 5 industry peers | $1.75 | -78.4% | 1% | B | Data |
| Weighted Output Blended model output | $6.48 | -20.0% | 100% | 60 | OVERVALUED |
Cross-sectional regression predicting expected multiples based on growth, margins, ROIC, and beta.
| Multiple | Avg | Median | Min | Max | Std |
|---|---|---|---|---|---|
| P/FCF | 233.30 | 105.17 | 85.15 | 509.58 | 239.47 |
| P/TBV | 1.95 | 1.97 | 1.34 | 2.43 | 0.45 |
| P/B Ratio | 1.95 | 1.95 | 1.33 | 2.42 | 0.45 |
| P/S Ratio | 2.52 | 2.15 | 1.82 | 4.07 | 0.89 |
Based on our peer multiples analysis with 15 valuation metrics, the model estimates ONTF's fair value at $6.48 vs the current price of $8.10, implying -20.0% downside potential. Model verdict: Overvalued. Confidence: 60/100. This is a quantitative estimate, not a recommendation.
The blended fair value of $6.48 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 $3.38 (P10) to $10.16 (P90), with a median of $6.27.
ONTF's current P/E of -11.9x compares to the industry median of 40.5x (4 peers in the group). This represents a -129.4% discount to the industry. The historical average P/E is N/Ax over 0 years. Signal: Deep Discount.
7 analysts cover ONTF with a consensus rating of Hold. The consensus price target is $8.10 (range: $8.10 — $8.10), implying +0.0% upside from the current price. Grade breakdown: Strong Buy (0), Buy (1), Hold (6), Sell (0), Strong Sell (0).
The model confidence score is 60/100, based on: data completeness (15), peer quality (22), historical depth (16), 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 ONTF.
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.