Kamada (KMDA) Assets (2012 - 2026)
Kamada (KMDA) posted Assets of $383.16 million for the quarter ended Jun 30, 2026, up 4.1% from $368.17 million a year earlier and unchanged from the prior quarter.
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Analysis
Kamada (KMDA) Assets (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Kamada's Assets came in at $378.71 million, up 1.7% from the prior year.
- Annual Assets has increased for nine consecutive years, with a five-year compound annual growth rate of 12.4% (years ended Dec 2020 to Dec 2025).
- In prior years, Kamada's Assets was $372.26 million in the year ended Dec 31, 2024 (+4.9%), $354.91 million in the year ended Dec 31, 2023 (+10.1%), $322.38 million in the year ended Dec 31, 2022 (+1.2%) and $318.67 million in the year ended Dec 31, 2021 (+51.3%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Assets in data going back to the quarter ended Jun 30, 2012.
- On a year-over-year basis, Assets has increased in each of the last 29 quarters, with growth averaging 4.8% over the last eight quarters.
- The year-over-year growth in Assets has ranged between 1.2% (the quarter ended Dec 31, 2022) and 51.3% (the quarter ended Dec 31, 2021) over the last five years.
- According to Business Quant data, Assets for the three prior quarters was $383.02 million (quarter ended Mar 31, 2026), $378.71 million (quarter ended Dec 31, 2025) and $377.21 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Kamada | 497.25 Mn | 206.31 Mn | 22.47 Mn | 383.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 383.16 Mn |
| Mar 31, 2026 | 383.02 Mn |
| Dec 31, 2025 | 378.71 Mn |
| Sep 30, 2025 | 377.21 Mn |
| Jun 30, 2025 | 368.17 Mn |
| Mar 31, 2025 | 375.11 Mn |
| Dec 31, 2024 | 372.26 Mn |
| Sep 30, 2024 | 351.21 Mn |
| Jun 30, 2024 | 351.04 Mn |
| Mar 31, 2024 | 343.17 Mn |
| Dec 31, 2023 | 354.91 Mn |
| Sep 30, 2023 | 337.06 Mn |
| Jun 30, 2023 | 314.39 Mn |
| Mar 31, 2023 | 316.80 Mn |
| Dec 31, 2022 | 322.38 Mn |
| Sep 30, 2022 | 319.64 Mn |
| Jun 30, 2022 | 304.14 Mn |
| Mar 31, 2022 | 303.10 Mn |
| Dec 31, 2021 | 318.67 Mn |
| Sep 30, 2021 | 216.53 Mn |
API Access
Kamada Assets 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=assets&ticker=KMDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();