OGE (OGE)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 1.4.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of OGE display a distinct capital efficiency profile, characterized by an ROIC-WACC spread that warrants scrutiny given the modest 4.9% return on invested capital relative to typical utility or infrastructure benchmarks. The DuPont decomposition reveals that the current 9.5% ROE is primarily driven by significant financial leverage (Equity Multiplier of 2.89x) rather than operational intensity, as evidenced by a low asset turnover ratio of just 0.23x despite healthy net margins at 14.4%. While the Piotroski F-Score of 6/9 suggests moderate fundamental strength and the Beneish M-Score of -2.58 indicates low likelihood of earnings manipulation, the underlying capital generation remains constrained by this reliance on leverage to amplify returns from a relatively thin asset base.
Valuation metrics present a mixed picture where the current P/E multiple of 20.7x sits at a premium relative to historical norms and sector peers, implying that the market is pricing in aggressive growth expectations not yet fully realized by fundamentals. Although revenue grew 9.2% year-over-yoer and gross margins remain robust at 45.1%, the elevated valuation multiple suggests investors are anticipating an acceleration in profitability or a re-rating of leverage efficiency that has not materialized to date. A DCF analysis would likely highlight a sensitivity gap, where fair value hinges heavily on assumed growth rates that may be difficult to sustain given the current turnover constraints and modest ROIC generation.
Recent insider activity shows $207,264 in net buying over the last 90 days, which provides a counterweight of limited confidence from management despite the valuation premium. However, without data on Fama-French alpha or specific risk factor deltas such as beta or size exposure, it remains unclear whether this insider flow compensates for the stretched multiple and sub-optimal capital efficiency. The convergence of high leverage-driven ROE, elevated valuations, and modest absolute returns creates a scenario where downside protection relies heavily on margin expansion rather than organic growth acceleration.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
Quant Health Deep Dive
Profitability & Value Creation
⚠️ Dividend consumes >80% of FCF — sustainability risk.
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Insider Activity (Last 90 Days)
Open-market buys vs sells by company insiders. Source: yfinance.
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 DVY or VPU, the fund manager is mechanically forced to buy or sell OGE shares regardless of OGE's individual fundamentals. We estimate $919M of passive capital is structurally linked to OGE through 8 tracked ETFs. Passive flows have a limited but growing influence on OGE'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 OGE to visualize passive redemption contagion across ETFs and collateral stocks.
If OGE (OGE) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NextEra Energy Inc. (NEE) as the most exposed collateral stock, sharing 1 ETFs with OGE. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 15 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
OGE Ownership Dynamics
ETFs with Highest OGE Exposure
Float lock-up computed from 15 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
OGE Capital Efficiency
How efficiently does OGE convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
OGE converts 6% of its EBITDA into free cash flow, a low conversion rate suggesting heavy reinvestment. This may indicate a growth phase (building capacity) or structural capital intensity. The 94% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-1.9%), 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 |
|---|---|---|---|
| 2026-05-06 | 1 | $47.84 | $47.84 |
| 2026-04-08 | 157 | $49.01 | $7,694.57 |
| 2026-04-02 | 5,472 | $48.26 | $264,078.72 |
| 2026-03-31 | 2,523 | $47.89 | $120,826.47 |
| 2026-03-23 | 21,961 | $46.14 | $1.0M |
| 2026-03-10 | 23,603 | $47.93 | $1.1M |
| 2026-02-25 | 11,575 | $48.39 | $560,114.25 |
| 2026-02-23 | 5,386 | $47.35 | $255,027.1 |
| 2026-02-20 | 119 | $46.73 | $5,560.87 |
| 2026-02-10 | 130,861 | $44.30 | $5.8M |
| 2026-01-23 | 1,400 | $43.18 | $60,452 |
| 2026-01-16 | 12,534 | $43.72 | $547,986.48 |
| 2026-01-15 | 101 | $43.48 | $4,391.48 |
| 2026-01-12 | 3,114 | $42.83 | $133,372.62 |
| 2026-01-02 | 1,279 | $42.70 | $54,613.3 |
| 2025-12-26 | 28 | $42.99 | $1,203.72 |
| 2025-12-24 | 28 | $42.98 | $1,203.44 |
| 2025-12-23 | 28 | $43.03 | $1,204.84 |
| 2025-12-22 | 766 | $42.50 | $32,555 |
| 2025-12-12 | 38 | $42.62 | $1,619.56 |
| 2025-12-10 | 113 | $43.07 | $4,866.91 |
| 2025-11-26 | 11,900 | $44.85 | $533,715 |
| 2025-11-20 | 2,549 | $44.08 | $112,359.92 |
| 2025-11-13 | 9,827 | $45.63 | $448,406.01 |
| 2025-11-05 | 14 | $44.29 | $620.06 |
| 2025-10-30 | 86 | $44.41 | $3,819.26 |
| 2025-10-28 | 20 | $46.48 | $929.6 |
| 2025-10-21 | 411 | $46.65 | $19,173.15 |
| 2025-10-15 | 2,556 | $46.52 | $118,905.12 |
| 2025-10-14 | 13,076 | $45.96 | $600,972.96 |
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 OGE 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.