Kamada (KMDA) Goodwill & Intangibles (2020 - 2026)
Kamada's Goodwill & Intangibles was $93.97 million in the quarter ended Jun 30, 2026, down 5.7% from $99.64 million a year earlier and down 1.8% from the prior quarter.
Kamada (KMDA) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Goodwill & Intangibles at Kamada came in at $97.51 million, down 5.5% from the prior year.
- Goodwill & Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 128.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Goodwill & Intangibles was $103.23 million in the year ended Dec 31, 2024 (-6.3%), $110.15 million in the year ended Dec 31, 2023 (-25.1%), $147.07 million in the year ended Dec 31, 2022 (+21.4%) and $121.17 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Goodwill & Intangibles since the quarter ended Sep 30, 2021.
- Compared with a year earlier, Goodwill & Intangibles has declined for 14 straight quarters, with an average decline of 8.5% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was the quarter ended Dec 31, 2022 (growth of 21.4%); the worst was the quarter ended Sep 30, 2024 (a decline of 26.5%).
- Per Business Quant data, KMDA's Goodwill & Intangibles in the three quarters before the quarter ended Jun 30, 2026 was $95.68 million (quarter ended Mar 31, 2026), $97.51 million (quarter ended Dec 31, 2025) and $99.19 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Kamada | 473.03 Mn | 182.08 Mn | 22.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.97 Mn |
| Mar 31, 2026 | 95.68 Mn |
| Dec 31, 2025 | 97.51 Mn |
| Sep 30, 2025 | 99.19 Mn |
| Jun 30, 2025 | 99.64 Mn |
| Mar 31, 2025 | 101.42 Mn |
| Dec 31, 2024 | 103.23 Mn |
| Sep 30, 2024 | 104.73 Mn |
| Jun 30, 2024 | 106.52 Mn |
| Mar 31, 2024 | 108.31 Mn |
| Dec 31, 2023 | 110.15 Mn |
| Sep 30, 2023 | 142.50 Mn |
| Jun 30, 2023 | 143.99 Mn |
| Mar 31, 2023 | 145.31 Mn |
| Dec 31, 2022 | 147.07 Mn |
| Sep 30, 2022 | 148.62 Mn |
| Jun 30, 2022 | 150.45 Mn |
| Mar 31, 2022 | 151.86 Mn |
| Dec 31, 2021 | 121.17 Mn |
| Sep 30, 2021 | 3.38 Mn |
Kamada Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();