ProMIS Neurosciences (PMN) Price to Book (2021 - 2026)
ProMIS Neurosciences' (PMN) Price to Book was 2.39 for Q2 2026, up 75.0% from the prior quarter.
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Analysis
ProMIS Neurosciences (PMN) Price to Book (2021 - 2026) Analysis & Trends
For FY2024, Price to Book at ProMIS Neurosciences was 1.49, down 60.3% from FY2023.
- By year, Price to Book came in at 3.77 in FY2023 and 6.75 in FY2021.
- Five-year quarterly Price to Book spans a low of 1.37 in Q1 2026 and a high of 469.73 in Q1 2024.
- Year over year, Price to Book gained in 1 of the last five quarters, with an average decline of 40.7%.
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 | ProMIS Neurosciences | 97.30 Mn | -41.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 |
| Mar 31, 2026 | 1.37 |
| Sep 30, 2025 | 2.52 |
| Mar 31, 2025 | 2.42 |
| Dec 31, 2024 | 1.49 |
| Sep 30, 2024 | 5.62 |
| Mar 31, 2024 | 469.73 |
| Dec 31, 2023 | 3.77 |
| Sep 30, 2023 | 3.63 |
| Sep 30, 2022 | 60.44 |
| Jun 30, 2022 | 6.96 |
| Mar 31, 2022 | 11.55 |
| Dec 31, 2021 | 6.75 |
| Sep 30, 2021 | 6.36 |
API Access
ProMIS Neurosciences 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=PMN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "PMN", "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=PMN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();