Kamada (KMDA) Payables (2012 - 2026)
Kamada (KMDA) posted Payables of $28.35 million for the quarter ended Jun 30, 2026, up 13.1% from $25.08 million a year earlier and up 29.2% from the prior quarter.
Kamada (KMDA) Payables (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Kamada's Payables came in at $23.24 million, down 16.2% from the prior year.
- Annual Payables shows a five-year compound annual growth rate of 7.6% (years ended Dec 2020 to Dec 2025).
- In prior years, Kamada's Payables was $27.74 million in the year ended Dec 31, 2024 (+11.8%), $24.8 million in the year ended Dec 31, 2023 (-33.6%), $37.36 million in the year ended Dec 31, 2022 (+48.8%) and $25.1 million in the year ended Dec 31, 2021 (+55.8%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Payables since the quarter ended Jun 30, 2023.
- On a year-over-year basis, Payables increased in six of the last eight quarters, with growth averaging 20.0%.
- The strongest year-over-year quarter for Payables in the past five years was the quarter ended Mar 31, 2023, with growth of 124.4%; the weakest was the quarter ended Sep 30, 2023, with a decline of 58.2%.
- According to Business Quant data, Payables for the three prior quarters was $21.94 million (quarter ended Mar 31, 2026), $23.24 million (quarter ended Dec 31, 2025) and $24.88 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Kamada | 497.25 Mn | 206.31 Mn | 22.47 Mn | 28.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.35 Mn |
| Mar 31, 2026 | 21.94 Mn |
| Dec 31, 2025 | 23.24 Mn |
| Sep 30, 2025 | 24.88 Mn |
| Jun 30, 2025 | 25.08 Mn |
| Mar 31, 2025 | 24.85 Mn |
| Dec 31, 2024 | 27.74 Mn |
| Sep 30, 2024 | 14.79 Mn |
| Jun 30, 2024 | 19.53 Mn |
| Mar 31, 2024 | 16.49 Mn |
| Dec 31, 2023 | 24.80 Mn |
| Sep 30, 2023 | 12.81 Mn |
| Jun 30, 2023 | 32.41 Mn |
| Mar 31, 2023 | 26.21 Mn |
| Dec 31, 2022 | 37.36 Mn |
| Sep 30, 2022 | 30.62 Mn |
| Jun 30, 2022 | 17.95 Mn |
| Mar 31, 2022 | 11.68 Mn |
| Dec 31, 2021 | 25.10 Mn |
| Sep 30, 2021 | 19.01 Mn |
Kamada Payables 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=payables&ticker=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();