Kamada (KMDA) Price to Book (2015 - 2026)
Kamada's Price to Book came in at 1.57 for the quarter ended Jun 30, 2026, down 8.4% from 1.71 a year earlier and down 15.3% from the prior quarter.
Analysis
Kamada (KMDA) Price to Book (2015 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Kamada's Price to Book was 1.51, up 12.1% from the prior year.
- Going back by year, Price to Book was 1.35 in the year ended Dec 31, 2024 (-6.4%), 1.44 in the year ended Dec 31, 2023 (+41.1%), 1.02 in the year ended Dec 31, 2022 (-38.7%) and 1.67 in the year ended Dec 31, 2021 (+2.7%).
- The five-year range for quarterly Price to Book is 1.00 (the quarter ended Sep 30, 2023) to 1177.61 (the quarter ended Jun 30, 2022).
- Year-over-year, Price to Book increased in six of the last eight quarters, with growth averaging 16.7%.
- The fastest year-over-year change in Price to Book over five years came in the quarter ended Jun 30, 2025 (growth of 51.0%), and the weakest in the quarter ended Jun 30, 2023 (a decline of 99.9%).
- Business Quant data shows KMDA's Price to Book at 1.85 (quarter ended Mar 31, 2026), 1.51 (quarter ended Dec 31, 2025) and 1.50 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 | Kamada | 488.02 Mn | 197.08 Mn | 22.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 |
| Mar 31, 2026 | 1.85 |
| Dec 31, 2025 | 1.51 |
| Sep 30, 2025 | 1.50 |
| Jun 30, 2025 | 1.71 |
| Mar 31, 2025 | 1.51 |
| Dec 31, 2024 | 1.35 |
| Sep 30, 2024 | 1.21 |
| Jun 30, 2024 | 1.14 |
| Mar 31, 2024 | 1.28 |
| Dec 31, 2023 | 1.44 |
| Sep 30, 2023 | 1.00 |
| Jun 30, 2023 | 1.34 |
| Mar 31, 2023 | 1.19 |
| Dec 31, 2022 | 1.02 |
| Sep 30, 2022 | 1.17 |
| Jun 30, 2022 | 1,177.61 |
| Mar 31, 2022 | 1.41 |
| Dec 31, 2021 | 1.67 |
| Sep 30, 2021 | 1.31 |
API Access
Kamada 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=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "KMDA", "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=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();