Hyperscale Data Long Term Debt

Hyperscale Data posts a long-term debt of $17M as of March 2026. That compares with $3.8M in the prior-year period — up 343.1% 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, Hyperscale Data's long-term debt was $3.8M. The latest reading is $17M — a 343.1% 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 Hyperscale Data's financial statement story. At $17M, 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 GPUS'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; Hyperscale Data's other metric pages and overview cover the third.

Judging Hyperscale Data against Technology peers is usually better than using a market-wide rule of thumb. Business models inside Technology are more comparable, which makes gaps in long-term debt easier to interpret. Start with $17M here, then scan peer and history charts to see if the gap is persistent.