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AI Equity Research · Healthcare

ORIC Pharmaceuticals, Inc. (ORIC)

AI stock analysis · Biotechnology · Last analyzed Jul 8, 2026

Compass Score
3.0/5
Call
Hold
Price
$10.55
AI Target
$20.29 +92.3%
AI Analyst Summary

ORIC Pharmaceuticals is a clinical-stage oncology biotech whose bull thesis rests entirely on pipeline value — specifically its resistance-focused drug candidates targeting mechanisms like HDAC, polycomb, and androgen receptor pathways in solid tumors. With 15 of 16 analysts rating it a Buy and a consensus price target implying ~92% upside, institutional sentiment is strongly constructive ahead of anticipated clinical readouts. The primary risk is binary clinical trial outcomes: any pivotal data miss could materially impair the stock given the company carries no revenue and continues to burn cash.

Catalysts
Risks
Fundamentals
Pe N/A (loss-making) · 1.0/5
No trailing P/E available; company is pre-profitability with a negative forward P/E of -6.6x, indicating ongoing losses with no near-term path to GAAP earnings.
Peg N/A · 3.0/5
PEG ratio is unavailable due to negative earnings. Scored neutrally per guidelines for missing data; growth optionality exists but cannot be quantified conventionally.
Analyst Rating Strong Buy consensus (1.3) · 5.0/5
15 Buy ratings and 1 Hold with zero Sell ratings across 16 analysts. A consensus of 1.3 on the inverted scale reflects overwhelming bullish conviction from a broad, credible analyst base.
Earnings Trend N/A (pre-revenue, clinical-stage) · 2.0/5
No meaningful earnings or revenue growth to trend — ORIC is a clinical-stage biotech with no commercial products. Losses are expected to persist through pipeline milestones. Scored below average reflecting ongoing cash burn.
Price Target Beat 2 of 4 quarters · 2.0/5
EPS beat rate of 2 of 4 recent quarters is below average. For a pre-revenue biotech, EPS beats largely reflect expense management rather than commercial execution, limiting the interpretive value.
Management Mixed · 3.0/5
Mixed EPS beat history and a pre-commercial stage make management quality difficult to assess quantitatively. Strong analyst conviction partially offsets execution uncertainty. Scored neutrally pending clinical data readouts.
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