IDA (IDA)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 6/9, Altman Z 1.3.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe company exhibits a distinct capital allocation profile where high profitability is achieved through operational leverage rather than asset efficiency or financial risk. A DuPont decomposition reveals that the 9.0% ROE is primarily driven by an expansive net margin of 17.8%, while low asset turnover at 0.18x and modest equity multipliers limit growth potential relative to peers. Despite a negative revenue trajectory of -0.8% YoY, quality indicators remain robust; the Piotroski F-Score of 6/9 suggests solid financial health with no distress signals, reinforced by a Beneish M-Score of -2.80 that points toward low earnings manipulation risk. This combination indicates an entity capable of generating strong returns on equity despite stagnant top-line growth and suboptimal capital efficiency compared to high-growth peers.
Valuation metrics present a divergence between current pricing and historical norms, with the stock trading at 24.2x forward earnings. While this multiple exceeds typical value benchmarks for firms exhibiting negative revenue momentum, it aligns more closely with quality names that sustain double-digit margins. The market appears to be pricing in an expectation of margin expansion or eventual top-line stabilization, as current cash flows do not fully justify the premium without assuming significant future growth acceleration. A discounted cash flow framework would likely challenge this multiple unless implied long-term growth rates significantly outpace industry averages to offset the recent contraction in sales volume.
Risk assessment is further complicated by insider activity, which shows $539,000 of net selling over the past 90 days. While the strong fundamental scores mitigate concerns regarding financial engineering or imminent distress, this capital outflow from management suggests a lack of confidence at current price levels or potential hedging against anticipated volatility. Investors must weigh whether the high margin durability and clean governance signals outweigh the insider disposition and the inherent risk of continued revenue stagnation when determining fair value relative to these specific data points.
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
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 IDA shares regardless of IDA's individual fundamentals. We estimate $761M of passive capital is structurally linked to IDA through 8 tracked ETFs. Passive flows have a limited but growing influence on IDA'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 IDA to visualize passive redemption contagion across ETFs and collateral stocks.
If IDA (IDA) 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 IDA. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 17 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
IDA Ownership Dynamics
ETFs with Highest IDA Exposure
Float lock-up computed from 17 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
IDA Capital Efficiency
How efficiently does IDA convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
IDA converts -78% 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 178% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-2.9%), 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 |
|---|---|---|---|
| 2026-05-13 | 8 | $143.72 | $1,149.76 |
| 2026-05-12 | 379 | $145.41 | $55,110.39 |
| 2026-05-05 | 194 | $146.61 | $28,442.34 |
| 2026-05-01 | 1,559 | $147.74 | $230,326.66 |
| 2026-04-29 | 17,572 | $145.62 | $2.6M |
| 2026-04-27 | 308 | $146.06 | $44,986.48 |
| 2026-04-24 | 4,515 | $148.82 | $671,922.3 |
| 2026-04-23 | 332 | $143.51 | $47,645.32 |
| 2026-04-16 | 397 | $146.51 | $58,164.47 |
| 2026-04-09 | 1,100 | $146.31 | $160,941 |
| 2026-03-27 | 23 | $139.58 | $3,210.34 |
| 2026-03-26 | 29,894 | $138.56 | $4.1M |
| 2026-03-17 | 8,423 | $142.68 | $1.2M |
| 2026-03-10 | 28 | $142.59 | $3,992.52 |
| 2026-03-09 | 5,449 | $142.64 | $777,245.36 |
| 2026-03-04 | 593 | $143.69 | $85,208.17 |
| 2026-03-02 | 5,917 | $143.97 | $851,870.49 |
| 2026-02-25 | 226 | $143.26 | $32,376.76 |
| 2026-02-24 | 20,946 | $143.45 | $3.0M |
| 2026-02-19 | 30,141 | $141.74 | $4.3M |
| 2026-02-13 | 11,965 | $141.39 | $1.7M |
| 2026-02-05 | 85 | $134.03 | $11,392.55 |
| 2026-02-02 | 9,362 | $132.79 | $1.2M |
| 2026-01-30 | 3,647 | $132.23 | $482,242.81 |
| 2026-01-22 | 327 | $134.00 | $43,818 |
| 2026-01-20 | 2,092 | $134.61 | $281,604.12 |
| 2026-01-15 | 9,985 | $132.22 | $1.3M |
| 2025-12-31 | 1 | $127.44 | $127.44 |
| 2025-11-26 | 2,787 | $129.53 | $361,000.11 |
| 2025-11-21 | 657 | $126.77 | $83,287.89 |
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 IDA 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.