Kamada (KMDA) Enterprise Value (2015 - 2026)
Kamada (KMDA) reported Enterprise Value of $353.28 million for the quarter ended Jun 30, 2026, down 7.0% from $379.68 million a year earlier and down 13.4% from the prior quarter.
Kamada (KMDA) Enterprise Value (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Kamada's Enterprise Value came in at $132.47 million, down 13.4% year-over-year; for the year ended Dec 31, 2025, it came in at $331.6 million, up 22.0% from the prior year.
- Enterprise Value has a five-year compound annual growth rate of 12.9% (years ended Dec 2020 to Dec 2025).
- By year, Enterprise Value came in at $271.72 million in the year ended Dec 31, 2024 (-8.2%), $295.99 million in the year ended Dec 31, 2023 (+103.4%), $145.52 million in the year ended Dec 31, 2022 (-47.3%) and $276.12 million in the year ended Dec 31, 2021 (+52.8%).
- Five-year quarterly Enterprise Value spans a low of $137.3 million in the quarter ended Sep 30, 2021 and a high of $407.95 million in the quarter ended Mar 31, 2026.
- Year over year, Enterprise Value gained in six of the last eight quarters, with growth averaging 22.9%.
- The high point for year-over-year Enterprise Value in five years was the quarter ended Dec 31, 2023 (growth of 103.4%); the low point was the quarter ended Dec 31, 2022 (a decline of 47.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $407.95 million (quarter ended Mar 31, 2026), $331.6 million (quarter ended Dec 31, 2025) and $327.09 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Kamada | 497.25 Mn | 206.31 Mn | 22.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 353.28 Mn |
| Mar 31, 2026 | 407.95 Mn |
| Dec 31, 2025 | 331.60 Mn |
| Sep 30, 2025 | 327.09 Mn |
| Jun 30, 2025 | 379.68 Mn |
| Mar 31, 2025 | 303.86 Mn |
| Dec 31, 2024 | 271.72 Mn |
| Sep 30, 2024 | 236.66 Mn |
| Jun 30, 2024 | 228.55 Mn |
| Mar 31, 2024 | 274.27 Mn |
| Dec 31, 2023 | 295.99 Mn |
| Sep 30, 2023 | 186.80 Mn |
| Jun 30, 2023 | 214.93 Mn |
| Mar 31, 2023 | 180.90 Mn |
| Dec 31, 2022 | 145.52 Mn |
| Sep 30, 2022 | 170.80 Mn |
| Jun 30, 2022 | 202.02 Mn |
| Mar 31, 2022 | 225.33 Mn |
| Dec 31, 2021 | 276.12 Mn |
| Sep 30, 2021 | 137.30 Mn |
Kamada Enterprise Value 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=enterprise-value&ticker=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();