BackFaraday Future Intelligent Electric Overview

Faraday Future Intelligent Electric Long Term Debt

Track Faraday Future Intelligent Electric's long-term debt ($100M) with charts, peers, and YoY trends.

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Long Term Debt
$104.58M
347.36% YoYΔ $81.20M vs prior year quarter

Peer average

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Faraday Future Intelligent Electric Long Term Debt History

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Faraday Future Intelligent Electric vs. peers: Long Term Debt Comparison

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Faraday Future Intelligent Electric Long Term Debt Growth (YoY per quarter)

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

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Faraday Future Intelligent Electric (FFAI) FAQ

Faraday Future Intelligent Electric posts a long-term debt of $100M as of March 2026. That compares with $23M in the prior-year period — up 347.4% year over year. Comparing that reading with peers and prior periods is usually more useful than looking at the number in isolation.

In the prior comparable period, Faraday Future Intelligent Electric's long-term debt was $23M. The latest reading is $100M — a 347.4% year-over-year increase (period ending March 2026). Use the history and growth charts on this page for a longer lookback.

Long-Term Debt is one piece of Faraday Future Intelligent Electric's financial statement story. At $100M, it should be interpreted next to related metrics — for example revenue with costs, assets with liabilities, or income with margins. Stockcircle links those related pages so you can move from this number to the surrounding context quickly.

Context for FFAI's long-term debt usually means three checks: (1) trend versus prior periods, (2) level versus peers, and (3) consistency with growth and profitability. This page covers the first two; Faraday Future Intelligent Electric's other metric pages and overview cover the third.

Judging Faraday Future Intelligent Electric against Industrials peers is usually better than using a market-wide rule of thumb. Business models inside Industrials are more comparable, which makes gaps in long-term debt easier to interpret. Start with $100M here, then scan peer and history charts to see if the gap is persistent.