BackBionano Genomics- Warrants (21/08/2023) Overview
Bionano Genomics Inc - Warrants (21/08/2023)

Bionano Genomics- Warrants (21/08/2023) Return on Equity

Bionano Genomics- Warrants (21/08/2023) (BNGOW) has a ROE of -101.76%, below the Healthcare sector average of 20.86%.

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ROE

-101.76%

Return on Equity

-101.76%

Return on Equity measures how efficiently a company uses shareholders' equity to generate profits. A higher ROE indicates better profitability relative to equity.

ROE (Comparison Companies)

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ROE History

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ROE Comparison

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Bionano Genomics- Warrants (21/08/2023) (BNGOW) FAQ

Bionano Genomics- Warrants (21/08/2023)'s return on equity stands at -101.76%. That is below the Healthcare sector average of 20.86%. Stockcircle updates this page with the newest filings so you can track how the metric evolves quarter by quarter.

Bionano Genomics- Warrants (21/08/2023) sits lower the Healthcare benchmark (20.86%) with a ROE of -101.76%. That is roughly 587.9% below the sector mean. Peer context matters because what looks expensive or cheap in absolute terms can be normal for the sector.

A ROE of -101.76% for Bionano Genomics- Warrants (21/08/2023) means each unit of related capital or sales is generating that return rate. Higher is usually better for profitability metrics, but extremely high figures can reflect one-time items or thin equity bases. Review several years of data on this page before extrapolating.

The history chart shows how Bionano Genomics- Warrants (21/08/2023)'s ROE evolved across reporting periods, while the comparison chart places BNGOW next to similar companies. Use both: a rising metric that still lags peers tells a different story than a rising metric that already leads the group. Growth charts, when available, highlight acceleration or slowdown.

Yes — within Healthcare, ROE is commonly used to spot outliers. Bionano Genomics- Warrants (21/08/2023)'s reading of -101.76% (sector avg 20.86%) is a starting point; confirm whether differences come from growth, margins, accounting choices, or one-time items before treating an outlier as a buy or sell signal.