BackFAT Brands- Warrants (16/07/2025) Overview

FAT Brands- Warrants (16/07/2025) Long Term Debt

Track FAT Brands- Warrants (16/07/2025)'s long-term debt ($200B) with charts, peers, and YoY trends.

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Long Term Debt
$198.99B
85.55% YoYΔ $-1177.89B vs prior year quarter

Peer average / median

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FAT Brands- Warrants (16/07/2025) Long Term Debt History

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FAT Brands- Warrants (16/07/2025) vs. peers: Long Term Debt Comparison

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FAT Brands- Warrants (16/07/2025) Long Term Debt Growth (YoY per quarter)

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

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FAT Brands- Warrants (16/07/2025) (FATBW) FAQ

FAT Brands- Warrants (16/07/2025)'s long-term debt stands at $200B as of September 2025. That compares with $1.4T in the prior-year period — down 85.5% year over year. Stockcircle updates this page with the newest filings so you can track how the metric evolves quarter by quarter.

FAT Brands- Warrants (16/07/2025) reported $200B in long-term debt versus $1.4T a year earlier — a 85.5% 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 $1.4T in the prior-year period — down 85.5% year over year. Sustained growth in long-term debt 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 FAT Brands- Warrants (16/07/2025)'s long-term debt evolved across reporting periods, while the comparison chart places FATBW 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 Consumer Staples, long-term debt is commonly used to spot outliers. FAT Brands- Warrants (16/07/2025)'s reading of $200B 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.