Oculis Holding AG (OCS) Price to Book (2023 - 2026)
Oculis Holding AG's (OCS) Price to Book stood at 2.61 in Q2 2026, down 42.5% from 4.54 a year earlier and down 52.8% from the prior quarter.
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Analysis
Oculis Holding AG (OCS) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Oculis Holding AG's Price to Book came in at 4.25, down 48.4% from FY2024.
- Across earlier years, Price to Book came in at 8.23 in FY2024 (+159.1%) and 3.18 in FY2023.
- The Q2 2026 figure is the lowest quarterly Price to Book since Q3 2023.
- On a year-over-year basis, Price to Book rose in six of the last eight quarters, with growth averaging 41.7%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 158.1% in Q4 2024, against a decline of 48.1% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 5.53 (Q1 2026), 4.25 (Q4 2025) and 4.35 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Oculis Holding AG | 487.95 Mn | 487.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.61 |
| Mar 31, 2026 | 5.53 |
| Dec 31, 2025 | 4.25 |
| Sep 30, 2025 | 4.35 |
| Jun 30, 2025 | 4.54 |
| Mar 31, 2025 | 4.25 |
| Dec 31, 2024 | 8.20 |
| Sep 30, 2024 | 3.34 |
| Jun 30, 2024 | 2.86 |
| Mar 31, 2024 | 3.98 |
| Dec 31, 2023 | 3.18 |
| Sep 30, 2023 | 1.39 |
| Jun 30, 2023 | 1.43 |
API Access
Oculis Holding AG Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=OCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "OCS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=OCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();