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Applied Genetic Technologies Other Current Liabilities

Track Applied Genetic Technologies's other current liabilities ($13M) with charts, peers, and YoY trends.

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Other Current Liabilities
$13.03M
7.34% YoYΔ $-1.03M vs prior year quarter

Peer trimmed avg / median

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Applied Genetic Technologies Other Current Liabilities History

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Applied Genetic Technologies vs. peers: Other Current Liabilities Comparison

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Applied Genetic Technologies Other Current Liabilities Growth (YoY per quarter)

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

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Applied Genetic Technologies (AGTC) FAQ

Applied Genetic Technologies's other current liabilities stands at $13M as of September 2022. That compares with $14M in the prior-year period — down 7.3% year over year. Stockcircle updates this page with the newest filings so you can track how the metric evolves quarter by quarter.

Applied Genetic Technologies reported $13M in other current liabilities versus $14M a year earlier — a 7.3% year-over-year decrease. The historical chart on this page makes it easier to see whether that move is part of a longer pattern.

That compares with $14M in the prior-year period — down 7.3% year over year. Sustained growth in other current liabilities 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 Applied Genetic Technologies's other current liabilities evolved across reporting periods, while the comparison chart places AGTC 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, other current liabilities is commonly used to spot outliers. Applied Genetic Technologies's reading of $13M 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.