ICON PLC (ICLR) — the peer cohort
As of 2026-11-10 — scores re-bake nightly. Cohort = shared Closelooknet index membership first, then sector. Diary readings, not advice.
ICON PLC ranks 4 of 6 in its cohort on the Closelooknet composite (47/100) — the cohort is led by Medpace Holdings Inc at 62/100.
| Name | Composite | Momentum | Quality | Valuation | Signal | Off 52w high |
|---|---|---|---|---|---|---|
| ICLR ICON PLC | 47 | 92 | 35 | 47 | ok | 6.6% |
| MEDP Medpace Holdings Inc | 62 | 90 | 75 | 25 | ok | 4.2% |
| IDXX IDEXX Laboratories Inc | 59 | 71 | 85 | 17 | bull | 8.2% |
| ILMN Illumina Inc | 56 | 79 | 78 | 23 | bull | 28.6% |
| GH Guardant Health Inc | 43 | 73 | 18 | 11 | info | 18.7% |
| NTRA Natera Inc | 42 | 72 | 24 | 7 | bear | 26.8% |
Scores are relative readings across the Closelooknet coverage universe — methodology in the company-scoring explainer. Signal lights come from the nightly signal board.
FAQ · from the current data · as of 2026-11-10
Quick answers
Who are ICON PLC's peers in the Closelooknet universe?
The cohort is drawn from shared Closelooknet index membership first, then sector: Medpace Holdings Inc (MEDP), IDEXX Laboratories Inc (IDXX), Illumina Inc (ILMN), Guardant Health Inc (GH), Natera Inc (NTRA), as of 2026-11-10.
How does ICLR score against its peers?
ICON PLC's composite reads 47/100, ranking 4 of 6 in its cohort as of 2026-11-10; the cohort's highest composite is Medpace Holdings Inc at 62/100. Closelooknet scores are research diary readings, not ratings or advice.
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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