Butterfly Network, Inc. (BFLY)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 2.3.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of Butterfly Network, Inc. reveal a severe capital allocation mismatch where the return on invested capital sits at -25.8%, creating a destructive spread against the weighted average cost of capital that reaches -43.8%. This negative trajectory is exacerbated by a net margin contraction to -79.0%, indicating that despite robust revenue expansion of 19% year-over-year and healthy gross margins near 46.9%, operating leverage remains critically weak. While the Beneish M-Score of -3.24 suggests low earnings manipulation risk, the Altman Z-Score of 2.3 places the firm in a precarious zone approaching insolvency thresholds, underscored by a modest Piotroski F-Score of 4/9 that reflects limited financial strength relative to its peers.
Valuation metrics present a distinct divergence between historical norms and current market pricing, particularly given the company's negative earnings profile which renders traditional P/E comparisons with the sector average of 37.5x theoretically inapplicable without significant adjustments for growth expectations or cash flow generation. The absence of positive net income necessitates reliance on alternative valuation frameworks to assess whether the market is appropriately discounting the high revenue velocity against the substantial capital destruction evident in the ROIC-WACC spread. Without a clear path to profitability that justifies the premium associated with healthcare sector multiples, the current pricing structure implies aggressive assumptions regarding future margin expansion and operational efficiency improvements that have not yet materialized in historical financial statements.
Risk factors are amplified by the combination of negative free cash flow potential implied by the wide gap between gross and net margins alongside a Z-Score indicating elevated distress probability. The data suggests an asymmetric risk profile where upside is contingent on rapid structural changes to fix operating inefficiencies, while downside risks include further capital erosion that could trigger balance sheet constraints given the already compromised Altman metric. Investors must weigh whether the 19% revenue growth can be sustained without additional dilution or if the current financial architecture supports long-term value creation absent a fundamental turnaround in profitability drivers.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
Technical Setup
AI GeneratedButterfly Network, Inc. is currently trading at $3.83 within the healthcare sector, a positioning that inherently ties its risk dynamics to broader industry sentiment and macroeconomic factors affecting medical technology adoption. The absence of specific volatility metrics or drawdown data in the provided snapshot prevents a granular assessment of recent price stability, yet the low absolute share price often correlates with heightened sensitivity to market-wide liquidity shifts rather than isolated fundamental drivers. Without visible support levels or trend confirmation, any observed momentum appears structurally fragile, as it lacks the cushioning typically associated with established valuation anchors or strong earnings growth narratives in a capital-intensive sector like healthcare diagnostics and imaging. The interplay between current pricing and unseen historical ranges suggests that price action may be driven more by speculative flows than deep-value re-rating. In such environments, minor negative catalysts can disproportionately impact share price due to the compressed margin for error relative to potential downside risks. Consequently, the technical picture presents a scenario where short-term fluctuations could easily override longer-term structural trends if external headwinds emerge or if investor sentiment shifts regarding regulatory landscapes in healthcare. The current setup requires close monitoring of how the stock reacts to sector-specific developments, as the lack of defined volatility buffers indicates that price discovery remains highly susceptible to market noise rather than reflecting a consolidated consensus on intrinsic value.
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.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like XHE or ARKG, the fund manager is mechanically forced to buy or sell BFLY shares regardless of Butterfly Network, Inc.'s individual fundamentals. We estimate $25M of passive capital is structurally linked to BFLY through 3 tracked ETFs. Passive flows have a limited but growing influence on BFLY's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 3 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in Butterfly Network, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Butterfly Network, Inc. (BFLY) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Eli Lilly & Co. (LLY) as the most exposed collateral stock, sharing 1 ETFs with BFLY. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 3 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
BFLY Ownership Dynamics
Passive funds hold 1 in every 41 BFLY shares, reducing daily market volatility.
Butterfly Network, Inc. (BFLY) exerts measurable gravity on the passive index market, currently representing 2.0% of the XHE (XHE) and 1.7% of the ARK Genomic Revolution ETF (ARKG). Across 3 tracked ETFs, approximately 6M shares (2.4% 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 BFLY Exposure
Float lock-up computed from 3 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
BFLY 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 Butterfly Network, Inc. over the past year sits near $2.09 (11% of 252-day volume). The current price of $4.58 trades 119.1% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target.
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.
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 | 256 | $4.16 | $1,064.96 |
| 2026-05-07 | 6,017 | $4.55 | $27,377.35 |
| 2026-05-04 | 216 | $5.40 | $1,166.4 |
| 2026-04-30 | 51 | $4.92 | $250.92 |
| 2026-04-29 | 2,426 | $5.16 | $12,518.16 |
| 2026-04-28 | 9,051 | $5.48 | $49,599.48 |
| 2026-04-22 | 5,554 | $5.45 | $30,269.3 |
| 2026-04-20 | 8,417 | $5.45 | $45,872.65 |
| 2026-04-17 | 2,200 | $5.29 | $11,638 |
| 2026-04-07 | 793 | $4.13 | $3,275.09 |
| 2026-04-01 | 16,582 | $4.04 | $66,991.28 |
| 2026-03-26 | 70,517 | $4.19 | $295,466.23 |
| 2026-03-17 | 652 | $3.91 | $2,549.32 |
| 2026-03-16 | 4,908 | $3.80 | $18,650.4 |
| 2026-03-09 | 20,206 | $3.65 | $73,751.9 |
| 2026-03-05 | 27,236 | $4.03 | $109,761.08 |
| 2026-02-27 | 968 | $4.67 | $4,520.56 |
| 2026-02-13 | 3,221 | $3.05 | $9,824.05 |
| 2026-02-10 | 1,465 | $3.33 | $4,878.45 |
| 2026-02-06 | 41,984 | $3.23 | $135,608.32 |
| 2026-02-05 | 59,624 | $3.67 | $218,820.08 |
| 2026-02-03 | 425 | $3.82 | $1,623.5 |
| 2026-01-30 | 878,294 | $4.15 | $3.6M |
| 2026-01-20 | 6,000 | $4.16 | $24,960 |
| 2026-01-15 | 84,518 | $4.95 | $418,364.1 |
| 2026-01-14 | 1,142,387 | $4.40 | $5.0M |
| 2026-01-13 | 975,233 | $4.27 | $4.2M |
| 2026-01-12 | 1,037,759 | $4.04 | $4.2M |
| 2026-01-09 | 1,015,814 | $4.15 | $4.2M |
| 2026-01-08 | 678,683 | $4.21 | $2.9M |
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 | |
| PACB | 0.515 | 0.638 | Moderate |
| TXG | 0.449 | 0.484 | Moderate |
| SDGR | 0.432 | 0.551 | Moderate |
| CRSP | 0.429 | 0.523 | Moderate |
| ILMN | 0.406 | 0.409 | Moderate |
| NTLA | 0.395 | 0.372 | Moderate |
| ACHR | 0.392 | 0.460 | Moderate |
| RXO | 0.391 | 0.369 | Moderate |
| EMR | 0.387 | 0.383 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare BFLY 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.