BackGreat Elm Capital 7.75% Notes Due 2030 Overview

Great Elm Capital 7.75% Notes Due 2030 Total Liabilities

Latest total liabilities for GECCG: $82M.

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Total Liabilities
$81.64M
↓ 69.68% YoYΔ $-187.66M vs prior year quarter

Peer trimmed avg / median

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Great Elm Capital 7.75% Notes Due 2030 Total Liabilities History

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Great Elm Capital 7.75% Notes Due 2030 vs. peers: Total Liabilities Comparison

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Great Elm Capital 7.75% Notes Due 2030 Total Liabilities Growth (YoY per quarter)

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

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Great Elm Capital 7.75% Notes Due 2030 (GECCG) FAQ

Great Elm Capital 7.75% Notes Due 2030's total liabilities stands at $82M as of June 2026. That compares with $270M in the prior-year period — down 69.7% year over year. Stockcircle updates this page with the newest filings so you can track how the metric evolves quarter by quarter.

Great Elm Capital 7.75% Notes Due 2030 reported $82M in total liabilities versus $270M a year earlier — a 69.7% 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 $270M in the prior-year period — down 69.7% 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 Great Elm Capital 7.75% Notes Due 2030's total liabilities evolved across reporting periods, while the comparison chart places GECCG 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 Finance, total liabilities is commonly used to spot outliers. Great Elm Capital 7.75% Notes Due 2030's reading of $82M 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.