ICON PLC (ICLR) — Quality & forensics
As of 2026-11-03 — refreshed nightly. Closelooknet readings from an investment research diary, not ratings or advice.
The Closelooknet module scores
- Valuation 47
- Quality 34
- Growth 19
- Balance sheet 40
- Cash quality 70
- Capital allocation 77
- Momentum 92
Scores are computed nightly across the coverage universe and read relative to it — the methodology lives in the company-scoring explainer.
Financial forensics — the academic screens
Sits in the grey zone (1.81–2.99). The Z-Score estimates financial-distress risk from five balance-sheet and earnings ratios.
Nine binary fundamental-strength checks across profitability, leverage and operating efficiency.
Screens reported earnings for statistical manipulation patterns — below the −1.78 manipulation-risk threshold. A screen, not an accusation.
Continue: the ICLR chart & overview · the earnings record
FAQ · from the current data · as of 2026-11-03
Quick answers
What is ICON PLC's Closelooknet quality reading?
The composite reads 48/100 across 7 modules, as of 2026-11-03: valuation 47, quality 34, growth 19, balance sheet 40, cash quality 70, capital allocation 77, momentum 92. Closelooknet scores are research diary readings, not ratings or investment advice.
What is ICON PLC's Altman Z-Score?
2.12, which sits in the grey zone (1.81–2.99) as of 2026-11-03. The Altman Z-Score estimates financial distress risk from five balance-sheet and earnings ratios.
What is ICON PLC's Piotroski F-Score?
6 of 9, as of 2026-11-03. The F-Score counts nine binary fundamental-strength signals across profitability, leverage and operating efficiency.
What does ICON PLC's Beneish M-Score indicate?
-2.70 — below the −1.78 manipulation-risk threshold, as of 2026-11-03. The M-Score screens reported earnings for statistical manipulation patterns; it is a screen, not an accusation.
Mentioned on Closelooknet
Where ICLR appears in the diary — 2 pieces, newest first. Every link is our own writing.
Go deeper
Long reads
- Google and RSI — The Loop Nobody Has Closed
The International AI Safety Report 2026 devotes a section to it, and ICLR 2026 ran a workshop with recursive self-improvement in the title.
Dailies
- The Opex Handover — Why the AI Trade Is Rotating, Not Rolling Over
Google's KV-cache compression (ICLR 2026) cuts inference memory roughly 6× and speeds attention up to 8× on H100-class hardware — software-only, training-free, with no measurable accuracy loss.
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