BackHarrow- 8.625% NT REDEEM 30/04/2026 USD 25 Overview

Harrow- 8.625% NT REDEEM 30/04/2026 USD 25 Receivables

Harrow- 8.625% NT REDEEM 30/04/2026 USD 25's receivables is $120M.

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Receivables
$118.56M
49.98% YoYΔ $39.51M vs prior year quarter

Peer trimmed avg / median

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Harrow- 8.625% NT REDEEM 30/04/2026 USD 25 Receivables History

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Harrow- 8.625% NT REDEEM 30/04/2026 USD 25 vs. peers: Receivables Comparison

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Harrow- 8.625% NT REDEEM 30/04/2026 USD 25 Receivables Growth (YoY per quarter)

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

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Harrow- 8.625% NT REDEEM 30/04/2026 USD 25 (HROWL) FAQ

Harrow- 8.625% NT REDEEM 30/04/2026 USD 25's receivables stands at $120M as of June 2026. That compares with $79M in the prior-year period — up 50.0% year over year. Stockcircle updates this page with the newest filings so you can track how the metric evolves quarter by quarter.

Harrow- 8.625% NT REDEEM 30/04/2026 USD 25 reported $120M in receivables versus $79M a year earlier — a 50.0% year-over-year increase. The historical chart on this page makes it easier to see whether that move is part of a longer pattern.

That compares with $79M in the prior-year period — up 50.0% year over year. Sustained growth in receivables 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 Harrow- 8.625% NT REDEEM 30/04/2026 USD 25's receivables evolved across reporting periods, while the comparison chart places HROWL 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 Healthcare, receivables is commonly used to spot outliers. Harrow- 8.625% NT REDEEM 30/04/2026 USD 25's reading of $120M 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.