RPD (RPD)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 0.0. DCF fair value of $160 implies 2957% upside from current prices based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of RPD present a stark divergence between high-margin revenue generation and severely compromised capital efficiency. While the company maintains robust gross margins at 70.3%, this advantage is eroded by thin net margins of just 2.7% and sluggish revenue growth of only 1.9%. The core issue lies in the negative ROIC-WACC spread of -3.2%, indicating that the business generates returns significantly below its cost of capital, a condition further exacerbated by an Altman Z-Score of 0.0 which signals heightened bankruptcy risk under standard distress models. Despite a respectable Piotroski F-Score of 6/9 and a negative Beneish M-Score suggesting low earnings manipulation risk, the underlying profitability factor (RMW) is weak at -0.484, confirming that current operations are failing to create value relative to invested capital.
Valuation metrics reveal an extreme disconnect between market pricing and intrinsic model outputs, driven by a massive compression from historical norms. The current P/E of 15.8x represents an 84% discount compared to the five-year average of 89.2x, reflecting severe sentiment deterioration rather than necessarily fundamental collapse. However, this depressed multiple creates a paradoxical scenario where the DCF model implies substantial upside at $160 with a calculated growth rate that is fundamentally negative over ten years (-14.6%). This suggests the valuation gap may be more structural or based on divergent terminal value assumptions than immediate catalysts for recovery. The market appears to have priced in significant distress, yet the mathematical implication of the DCF model indicates the stock could theoretically trade at levels nearly 29 times its current price if growth expectations were normalized to historical baselines.
Risk-adjusted performance data further complicates the investment thesis by highlighting a persistent failure to outperform risk-free benchmarks on a factor-neutral basis. The annual Fama-French alpha stands at -73.74%, indicating that over the measured period, the stock has systematically underperformed after adjusting for market exposure and other factors. Additionally, while the value factor (HML) shows neutrality at -0.051, the weak profitability score suggests a lack of defensive characteristics typically associated with high-quality value stocks. Investors must weigh whether the extreme DCF upside captures potential mean reversion or if it reflects model sensitivity to the negative growth assumptions and capital destruction evident in the ROIC metrics.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
Interactive5-year two-stage DCF. Terminal growth 3%. Default sliders match the pre-computed base case. Drag to explore scenarios. Not investment advice.
The growth rate the market implicitly expects over the next 10 years to justify today's price. Compare with historical growth of 2% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 6% | 6% | 8% |
|---|---|---|---|
| 2% | $121 | $121 | $75 |
| 3% | $160 | $160 | $90 |
| 4% | $239 | $239 | $112 |
Center = base case. Green = >10% upside, Red = >10% downside vs $8.43.
Pre-computed DCF: WACC=6.0%, terminal growth 3%. Fair value $160 (+2956.8%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
Balance Sheet Health
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Max drawdown = largest peak-to-trough decline. 1,200+ trading days.
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
Rolling 60-Day Beta vs S&P 500 (VOO)
How the stock's sensitivity to market moves changes over time. β > 1 = more volatile than the market.
Fama-French 5-Factor Exposure
Academic factor model decomposition — what's really driving this stock's returns.
Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like HACK or XSW, the fund manager is mechanically forced to buy or sell RPD shares regardless of RPD's individual fundamentals. We estimate $71M of passive capital is structurally linked to RPD through 4 tracked ETFs. Passive flows have a limited but growing influence on RPD's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 4 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in RPD to visualize passive redemption contagion across ETFs and collateral stocks.
If RPD (RPD) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NVIDIA Corp. (NVDA) as the most exposed collateral stock, sharing 1 ETFs with RPD. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 4 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
RPD Ownership Dynamics
Passive funds hold 1 in every 11 RPD shares, reducing daily market volatility.
RPD (RPD) exerts measurable gravity on the passive index market, currently representing 2.9% of the Amplify Cybersecurity ETF (HACK) and 0.7% of the XSW (XSW). Across 4 tracked ETFs, approximately 6M shares (9.2% of float) are held by passive funds and rarely trade on the open market. As passive ownership grows, index inclusion changes may increasingly drive price discovery.
ETFs with Highest RPD Exposure
Float lock-up computed from 4 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
RPD Institutional Volume Profile
252-day volume distribution by price level. The Point of Control (POC) marks — the price where the most institutional volume transacted — an implicit support/resistance floor.
The highest-volume price zone for RPD over the past year sits near $6.54 (26% of 252-day volume). The current price of $8.43 trades 29.0% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target. The highly concentrated volume profile (26% at POC) indicates strong consensus on fair value — institutional participants have repeatedly transacted near this price.
Volume Profile computed from 252 trading days of OHLCV data. Volume allocated to price bins proportionally based on daily high-low range. Not investment advice.
RPD Capital Efficiency
How efficiently does RPD convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
RPD converts 151% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. However, the ROIC-WACC spread is negative (-3.2%), suggesting reinvested capital is destroying shareholder value.
Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.
Fails-to-Deliver (FTD) History
SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-05-13 | 140,013 | $6.57 | $919,885.41 |
| 2026-05-11 | 9 | $6.90 | $62.1 |
| 2026-05-08 | 21 | $6.71 | $140.91 |
| 2026-05-07 | 4 | $6.57 | $26.28 |
| 2026-05-06 | 30 | $6.68 | $200.4 |
| 2026-05-01 | 1,448 | $5.90 | $8,543.2 |
| 2026-04-24 | 7,162 | $5.78 | $41,396.36 |
| 2026-04-02 | 61 | $5.44 | $331.84 |
| 2026-04-01 | 770 | $5.51 | $4,242.7 |
| 2026-03-11 | 5,944 | $6.50 | $38,636 |
| 2026-03-10 | 5,401 | $6.64 | $35,862.64 |
| 2026-03-03 | 57 | $6.26 | $356.82 |
| 2026-02-24 | 1,742 | $6.12 | $10,661.04 |
| 2026-02-13 | 13 | $7.09 | $92.17 |
| 2026-02-05 | 24 | $11.04 | $264.96 |
| 2026-02-04 | 24,891 | $10.66 | $265,338.06 |
| 2026-02-02 | 155 | $11.92 | $1,847.6 |
| 2026-01-29 | 1,838 | $12.53 | $23,030.14 |
| 2026-01-14 | 8,844 | $13.67 | $120,897.48 |
| 2026-01-05 | 59 | $14.27 | $841.93 |
| 2025-12-22 | 1,000 | $15.49 | $15,490 |
| 2025-12-15 | 2,364 | $16.35 | $38,651.4 |
| 2025-12-10 | 3 | $16.19 | $48.57 |
| 2025-12-02 | 522 | $15.42 | $8,049.24 |
| 2025-11-26 | 199,144 | $15.33 | $3.1M |
| 2025-11-19 | 165,622 | $13.47 | $2.2M |
| 2025-11-14 | 230 | $13.77 | $3,167.1 |
| 2025-11-10 | 25,223 | $14.20 | $358,166.6 |
| 2025-11-06 | 2,002 | $14.25 | $28,528.5 |
| 2025-10-31 | 342 | $18.24 | $6,238.08 |
Source: SEC Regulation SHO FTD data. Data is reported with a ~30 day delay. High FTD quantities relative to average daily volume may indicate settlement stress.
Price Correlations
Statistical correlation of daily returns with other stocks. High correlations indicate stocks that move together; negative correlations can offer diversification.
| Peer | 252-Day (1Y) | 126-Day (6M) | Direction |
|---|---|---|---|
| WTGXX | NaN | NaN | |
| TENB | 0.566 | 0.536 | Moderate |
| CRM | 0.488 | 0.495 | Moderate |
| JLL | 0.471 | 0.522 | Moderate |
| WDAY | 0.468 | 0.534 | Moderate |
| OKTA | 0.462 | 0.482 | Moderate |
| S | 0.452 | 0.426 | Moderate |
| NOW | 0.443 | 0.494 | Moderate |
| INTU | 0.440 | 0.492 | Moderate |
| GTLB | 0.440 | 0.440 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare RPD to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
SecuritiesDB provides programmatic data aggregation for informational purposes only. None of the metrics, summaries, or algorithmic flags constitute a recommendation to buy or sell any security.