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RCM Technologies Total Liabilities

Track RCM Technologies's total liabilities ($85M) with charts, peers, and YoY trends.

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Total Liabilities
$85.18M

Peer trimmed avg / median

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RCM Technologies Total Liabilities History

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RCM Technologies vs. peers: Total Liabilities Comparison

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RCM Technologies Total Liabilities 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

RCM Technologies (RCMT) FAQ

RCM Technologies's total liabilities stands at $85M as of July 2026. 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.

RCM Technologies reported $85M in total liabilities 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 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 RCM Technologies's total liabilities evolved across reporting periods, while the comparison chart places RCMT 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 Industrials, total liabilities is commonly used to spot outliers. RCM Technologies's reading of $85M 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.