BackApplied Molecular Transport Overview

Applied Molecular Transport Total Liabilities

Applied Molecular Transport's total liabilities is $3.8M.

Get informed when a big investor buys or sells

+ Follow
Total Liabilities
$3.77M
91.83% YoYΔ $-42.44M vs prior year quarter

Peer trimmed avg / median

Loading

Applied Molecular Transport Total Liabilities History

Loading

Applied Molecular Transport vs. peers: Total Liabilities Comparison

Loading

Applied Molecular Transport Total Liabilities Growth (YoY per quarter)

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

Loading

Applied Molecular Transport (AMTI) FAQ

Applied Molecular Transport's total liabilities stands at $3.8M as of September 2023. That compares with $46M in the prior-year period — down 91.8% year over year. Stockcircle updates this page with the newest filings so you can track how the metric evolves quarter by quarter.

Applied Molecular Transport reported $3.8M in total liabilities versus $46M a year earlier — a 91.8% 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 $46M in the prior-year period — down 91.8% year over year. Sustained growth in total 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 Molecular Transport's total liabilities evolved across reporting periods, while the comparison chart places AMTI 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, total liabilities is commonly used to spot outliers. Applied Molecular Transport's reading of $3.8M 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.