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Evolutionary Genomics Receivables

Track Evolutionary Genomics's receivables ($78K) with charts, peers, and YoY trends.

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Receivables
$78000.00

Peer trimmed avg / median

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Evolutionary Genomics Receivables History

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Evolutionary Genomics vs. peers: Receivables Comparison

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Evolutionary Genomics Receivables Growth (YoY per quarter)

Latest change versus the prior comparable period (same company).

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Balance Sheet Breakdown

Current CashShort Term InvestmentsReceivablesInventoryOther Current AssetsCurrent AssetsLong Term InvestmentsProperty Plant EquipmentGoodwillIntangible AssetsOther AssetsTotal AssetsNet Tangible AssetsAccounts PayableOther Current LiabilitiesTotal Current LiabilitiesLong Term DebtOther LiabilitiesMinority InterestTotal Liabilities

Evolutionary Genomics (FNAM) FAQ

Evolutionary Genomics's receivables stands at $78K as of December 2022. In the prior-year period, the figure was $0. Stockcircle updates this page with the newest filings so you can track how the metric evolves quarter by quarter.

Evolutionary Genomics reported $78K in receivables versus $0 a year earlier. The historical chart on this page makes it easier to see whether that move is part of a longer pattern.

In the prior-year period, the figure was $0. Sustained growth in receivables can support a stronger franchise, while sharp declines may reflect divestitures, weaker demand, or accounting changes. Always read YoY moves with the footnotes of recent filings in mind.

The history chart shows how Evolutionary Genomics's receivables evolved across reporting periods, while the comparison chart places FNAM 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, receivables is commonly used to spot outliers. Evolutionary Genomics's reading of $78K 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.