FirstEnergy Corp. (FE)
Quantitative Summary
DeterministicFE trades at 25.2x earnings, roughly in line with its sector average of 24.4x. Financial health is average: Piotroski 5/9, Altman Z 0.8.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of FirstEnergy Corp. reveal a capital allocation challenge where the return on invested capital of 4.0% falls significantly short of the estimated cost of equity at 6.5%, resulting in a negative spread that erodes long-term shareholder value despite a reported ROE of 7.3%. This profitability is driven primarily by high leverage, evidenced by an equity multiplier of 4.01x within the DuPont decomposition, rather than operational efficiency or margin expansion, which are further compromised by weak profitability signals indicated by a negative RMW factor of -0.122 and an Altman Z-Score of 0.8 suggesting elevated distress risk. While the Piotroski F-Score of 5/9 indicates moderate financial strength and a Beneish M-Score of -2.62 points to low earnings manipulation likelihood, the core business model struggles to generate returns sufficient to cover its capital costs without relying heavily on leverage or benefiting from high-gross-margin activities that do not translate into bottom-line growth efficiency.
Valuation metrics currently reflect a premium pricing environment relative to historical norms and sector peers, with a P/E ratio of 29.2x exceeding the utility sector average of 24.2x. This multiple implies that the market is anticipating robust future earnings growth that may not be fully supported by current operational fundamentals or the observed revenue expansion rate of 12.0%. The divergence between the high valuation and the negative ROIC-WACC spread suggests a potential disconnect where investor expectations for capital appreciation outpace the company's ability to generate risk-adjusted returns, creating a scenario where any deviation in growth assumptions could lead to significant multiple compression given the lack of intrinsic value creation at current levels.
Risk assessment highlights notable divergence between momentum factors and fundamental quality; while Fama-French alpha data shows an annualized return of 23.31% relative to the benchmark, this outperformance is counterbalanced by a negative Value Factor score of -0.451, indicating underperformance typical for growth-oriented stocks rather than value plays. Compounding these structural headwinds, insider activity over the last ninety days demonstrates net selling totaling $1,989,621, which often signals management caution regarding future prospects or liquidity needs in a capital-intensive utility sector facing margin pressure and elevated distress metrics.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Valuation Context
Currently trading 16% above its 5-year average P/E of 25.2x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedFirstEnergy Corp. is currently trading at $45.07 within the Utilities sector, presenting a snapshot of its immediate market positioning relative to broader moving averages and short-term momentum indicators. The placement of the current price against key moving averages offers insight into whether the asset has recently maintained an uptrend or experienced a shift toward consolidation or decline, though specific average values are not provided in this dataset. Observers might analyze if $45.07 sits above longer-term trends to suggest sustained bullish pressure or below them to indicate potential weakness. The Relative Strength Index (RSI), while its exact numerical value is absent from the supplied data, serves as a critical gauge for short-term momentum dynamics. Depending on where this metric falls within its 0 to 100 range, it could signal whether buying interest is accelerating toward overbought conditions or if selling pressure has not yet exhausted itself in an oversold environment. Without precise RSI figures, the interpretation relies entirely on how traders historically correlate such indices with price action at similar levels for utility stocks. This technical overview highlights the interplay between trend direction and momentum strength without offering directional guidance. The current price level acts as a reference point against which historical averages are measured to determine market sentiment. Ultimately, the alignment or divergence of these factors determines whether the stock appears to be in a phase of accumulation, distribution, or equilibrium, leaving the assessment of future movement entirely to further analysis by the viewer based on their own risk tolerance and strategy
Quant Health Deep Dive
Profitability & Value Creation
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.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-05-07 | $0.4650 | +4.5% |
| 2026-02-06 | $0.4450 | 0.0% |
| 2025-11-07 | $0.4450 | 0.0% |
| 2025-08-07 | $0.4450 | 0.0% |
| 2025-05-07 | $0.4450 | +4.7% |
| 2025-02-07 | $0.4250 | 0.0% |
| 2024-11-07 | $0.4250 | 0.0% |
| 2024-08-07 | $0.4250 | 0.0% |
| 2024-05-06 | $0.4250 | +3.7% |
| 2024-02-06 | $0.4100 | 0.0% |
| 2023-11-06 | $0.4100 | +5.1% |
| 2023-08-04 | $0.3900 | 0.0% |
Dividend and split data from SEC filings and market data. Amounts are per share, not adjusted for splits. 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 XLU or VPU, the fund manager is mechanically forced to buy or sell FE shares regardless of FirstEnergy Corp.'s individual fundamentals. We estimate $4.4B of passive capital is structurally linked to FE through 8 tracked ETFs. Index rebalances and ETF creation/redemption cycles can create noticeable volume spikes unrelated to company news.
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 FirstEnergy Corp. to visualize passive redemption contagion across ETFs and collateral stocks.
If FirstEnergy Corp. (FE) 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 FE. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 30 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
FE Ownership Dynamics
Passive funds hold 1 in every 6 FE shares, reducing daily market volatility.
FirstEnergy Corp. (FE) exerts notable gravity on the passive index market, currently representing 1.7% of the State Street Utilities Select Sector SPDR ETF (XLU) and 1.6% of the VPU (VPU). Across 30 tracked ETFs, approximately 96M shares (16.6% of float) are held by passive funds and rarely trade on the open market. This level of passive ownership means index rebalances can create outsized volume events.
ETFs with Highest FE Exposure
Float lock-up computed from 30 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
FE 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 FirstEnergy Corp. over the past year sits near $46.30 (13% of 252-day volume). The current price of $45.32 sits 2.1% below the POC — suggesting potential mean-reversion upside if institutional demand reasserts at this level. The highly concentrated volume profile (13% 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.
FE Capital Efficiency
How efficiently does FirstEnergy Corp. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
FirstEnergy Corp. converts -24% of its EBITDA into free cash flow, negative FCF conversion — the company is consuming cash faster than it generates EBITDA, which is unsustainable long-term. The 124% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-2.4%), 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 |
|---|---|---|---|
| 2026-05-14 | 54,620 | $44.12 | $2.4M |
| 2026-05-13 | 137,322 | $44.71 | $6.1M |
| 2026-05-08 | 218 | $45.17 | $9,847.06 |
| 2026-05-01 | 72,069 | $47.52 | $3.4M |
| 2026-04-24 | 3,885 | $49.62 | $192,773.7 |
| 2026-04-21 | 4,800 | $49.45 | $237,360 |
| 2026-04-15 | 19,432 | $51.04 | $991,809.28 |
| 2026-04-13 | 4,810 | $51.43 | $247,378.3 |
| 2026-04-10 | 8 | $51.91 | $415.28 |
| 2026-04-07 | 66 | $51.02 | $3,367.32 |
| 2026-04-06 | 66 | $51.31 | $3,386.46 |
| 2026-03-25 | 52 | $49.16 | $2,556.32 |
| 2026-03-20 | 54,226 | $49.69 | $2.7M |
| 2026-03-18 | 169 | $51.21 | $8,654.49 |
| 2026-03-13 | 30,324 | $50.82 | $1.5M |
| 2026-03-12 | 55,851 | $50.65 | $2.8M |
| 2026-03-09 | 660 | $50.84 | $33,554.4 |
| 2026-03-04 | 6,123 | $50.57 | $309,640.11 |
| 2026-02-13 | 16,083 | $48.84 | $785,493.72 |
| 2026-02-10 | 3,667 | $46.82 | $171,688.94 |
| 2026-02-09 | 448 | $46.63 | $20,890.24 |
| 2026-02-06 | 13,353 | $46.99 | $627,457.47 |
| 2026-02-02 | 4 | $47.34 | $189.36 |
| 2026-01-30 | 4 | $47.33 | $189.32 |
| 2026-01-27 | 22,175 | $46.77 | $1.0M |
| 2026-01-26 | 98,000 | $46.56 | $4.6M |
| 2026-01-20 | 25,966 | $47.34 | $1.2M |
| 2026-01-16 | 22,266 | $46.57 | $1.0M |
| 2026-01-13 | 1,243 | $44.73 | $55,599.39 |
| 2026-01-07 | 46,400 | $44.84 | $2.1M |
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 | |
| EXC | 0.783 | 0.786 | High co-movement |
| PPL | 0.767 | 0.813 | High co-movement |
| AEE | 0.762 | 0.771 | High co-movement |
| DUK | 0.747 | 0.751 | High co-movement |
| CMS | 0.740 | 0.747 | High co-movement |
| SO | 0.720 | 0.708 | High co-movement |
| WEC | 0.714 | 0.671 | High co-movement |
| DTE | 0.712 | 0.700 | High co-movement |
| LNT | 0.711 | 0.753 | High co-movement |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare FE 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.