PEGA (PEGA)
Quantitative Summary
DeterministicFinancial health metrics are strong: Piotroski 8/9, Altman Z 7.2 (above 3.0 safe zone threshold).
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe company demonstrates robust fundamental economics, characterized by a high ROIC of 24.9% and exceptionally strong profitability metrics with net margins at 22.5% and gross margins near 76%. The DuPont decomposition suggests that this return is driven primarily by superior margin expansion rather than operational leverage or asset turnover efficiency. Qualitative financial health indicators further corroborate this strength, as the firm posts a Piotroski F-Score of 8/9 and an Altman Z-Score of 7.2, signaling low distress risk and high fundamental quality. Additionally, a Beneish M-Score of -2.46 indicates that earnings are unlikely to be manipulated, reinforcing confidence in the reported financial performance amidst steady revenue growth of 16.6% year-over-year.
Valuation analysis reveals a significant divergence between current market pricing and intrinsic value estimates. Trading at a P/E ratio of 19.5x, the stock appears compressed relative to its earnings power when weighed against an implied fair value derived from DCF modeling of $103 per share. This discrepancy suggests that while the company generates substantial cash flows supported by high margins and growth, the market may be discounting future prospects or applying a conservative multiple not fully aligned with the underlying asset quality. The current price point implies that investors are pricing in modest growth expectations despite the 16.6% revenue expansion observed recently.
The convergence of superior risk-adjusted returns, indicated by high ROIC and clean earnings signals, against a valuation that appears undervalued relative to DCF fair value creates a compelling asymmetric setup. However, without sector-specific benchmark data or insider trading activity metrics provided in the input, it remains unclear whether this compression reflects temporary market inefficiency or persistent skepticism regarding long-term sustainability. The risk/reward profile hinges on whether the market can reprice these fundamentals given the lack of explicit distress signals and strong historical quality scores.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $126 | $92 | $72 |
| 3% | $147 | $103 | $79 |
| 4% | $180 | $117 | $86 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $103 (+0.0%). Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
✅ Conservative payout — room for dividend increases.
Balance Sheet Health
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
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.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like XSW or VFQY, the fund manager is mechanically forced to buy or sell PEGA shares regardless of PEGA's individual fundamentals. We estimate $157M of passive capital is structurally linked to PEGA through 8 tracked ETFs. Passive flows have a limited but growing influence on PEGA's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 8 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in PEGA to visualize passive redemption contagion across ETFs and collateral stocks.
If PEGA (PEGA) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies FLEX LTD (FLEX) as the most exposed collateral stock, sharing 2 ETFs with PEGA. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 10 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
PEGA Ownership Dynamics
ETFs with Highest PEGA Exposure
Float lock-up computed from 10 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
PEGA Capital Efficiency
How efficiently does PEGA convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
PEGA converts 159% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag.
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 |
|---|---|---|---|
| 2026-05-14 | 5,092 | $32.72 | $166,610.24 |
| 2026-05-05 | 26,230 | $36.79 | $965,001.7 |
| 2026-04-22 | 56,628 | $39.29 | $2.2M |
| 2026-04-17 | 2,096 | $43.28 | $90,714.88 |
| 2026-03-23 | 360 | $43.42 | $15,631.2 |
| 2026-03-19 | 22 | $43.06 | $947.32 |
| 2026-03-11 | 13,261 | $44.69 | $592,634.09 |
| 2026-03-10 | 12,841 | $46.19 | $593,125.79 |
| 2026-03-09 | 17,075 | $47.24 | $806,623 |
| 2026-03-06 | 2,852 | $47.30 | $134,899.6 |
| 2026-03-05 | 175,356 | $47.05 | $8.3M |
| 2026-03-04 | 1,120 | $45.01 | $50,411.2 |
| 2026-03-02 | 23,499 | $43.73 | $1.0M |
| 2026-02-27 | 246,377 | $45.31 | $11.2M |
| 2026-02-26 | 149,114 | $43.08 | $6.4M |
| 2026-02-25 | 111,982 | $43.28 | $4.8M |
| 2026-02-23 | 115,422 | $45.36 | $5.2M |
| 2026-02-20 | 11,712 | $44.76 | $524,229.12 |
| 2026-02-17 | 21,046 | $43.85 | $922,867.1 |
| 2026-02-05 | 73 | $39.26 | $2,865.98 |
| 2026-02-04 | 287 | $39.88 | $11,445.56 |
| 2026-01-30 | 5,645 | $44.62 | $251,879.9 |
| 2026-01-22 | 11,578 | $47.93 | $554,933.54 |
| 2026-01-15 | 118 | $56.14 | $6,624.52 |
| 2026-01-13 | 3,620 | $58.28 | $210,973.6 |
| 2025-12-22 | 33,869 | $61.17 | $2.1M |
| 2025-12-16 | 43 | $58.38 | $2,510.34 |
| 2025-12-11 | 24,500 | $61.17 | $1.5M |
| 2025-12-01 | 36 | $54.77 | $1,971.72 |
| 2025-11-26 | 4,037 | $54.48 | $219,935.76 |
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.
Compare PEGA to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: N/A.
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.