Kamada (KMDA) Inventory (2012 - 2026)
Kamada (KMDA) posted Inventory of $86.88 million for the quarter ended Jun 30, 2026, up 5.8% from $82.08 million a year earlier and up 1.7% from the prior quarter.
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Analysis
Kamada (KMDA) Inventory (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Kamada's Inventory came in at $84.94 million, up 7.8% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of 15.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Kamada's Inventory was $78.82 million in the year ended Dec 31, 2024 (-10.9%), $88.48 million in the year ended Dec 31, 2023 (+28.6%), $68.79 million in the year ended Dec 31, 2022 (+2.0%) and $67.42 million in the year ended Dec 31, 2021 (+60.5%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Inventory since the quarter ended Dec 31, 2023.
- On a year-over-year basis, Inventory has increased in each of the last five quarters, with growth averaging 3.2% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Dec 31, 2021, with growth of 60.5%; the weakest was the quarter ended Dec 31, 2024, with a decline of 10.9%.
- According to Business Quant data, Inventory for the three prior quarters was $85.44 million (quarter ended Mar 31, 2026), $84.94 million (quarter ended Dec 31, 2025) and $85.41 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.77 Bn |
| 10 | Kamada | 497.25 Mn | 206.31 Mn | 22.47 Mn | 86.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.88 Mn |
| Mar 31, 2026 | 85.44 Mn |
| Dec 31, 2025 | 84.94 Mn |
| Sep 30, 2025 | 85.41 Mn |
| Jun 30, 2025 | 82.08 Mn |
| Mar 31, 2025 | 78.36 Mn |
| Dec 31, 2024 | 78.82 Mn |
| Sep 30, 2024 | 71.56 Mn |
| Jun 30, 2024 | 78.71 Mn |
| Mar 31, 2024 | 84.35 Mn |
| Dec 31, 2023 | 88.48 Mn |
| Sep 30, 2023 | 73.80 Mn |
| Jun 30, 2023 | 80.24 Mn |
| Mar 31, 2023 | 79.75 Mn |
| Dec 31, 2022 | 68.79 Mn |
| Sep 30, 2022 | 73.03 Mn |
| Jun 30, 2022 | 64.52 Mn |
| Mar 31, 2022 | 64.76 Mn |
| Dec 31, 2021 | 67.42 Mn |
| Sep 30, 2021 | 48.16 Mn |
API Access
Kamada Inventory 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=inventory&ticker=KMDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();