Kamada (KMDA) Accounts Payables (2012 - 2026)
Kamada's Accounts Payables came in at $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) Accounts Payables (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Kamada's Accounts Payables was $23.24 million, down 16.2% from the prior year.
- Accounts Payables carries a five-year compound annual growth rate of 7.6% (years ended Dec 2020 to Dec 2025).
- Going back by year, Accounts Payables was $27.74 million in the year ended Dec 31, 2024 (+11.8%), $24.8 million in the year ended Dec 31, 2023 (-24.6%), $32.92 million in the year ended Dec 31, 2022 (+31.1%) and $25.1 million in the year ended Dec 31, 2021 (+55.8%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Accounts Payables since the quarter ended Dec 31, 2022.
- Year-over-year, Accounts Payables increased in six of the last eight quarters, with growth averaging 20.0%.
- The fastest year-over-year change in Accounts Payables over five years came in the quarter ended Mar 31, 2023 (growth of 124.4%), and the weakest in the quarter ended Sep 30, 2023 (a decline of 58.2%).
- Business Quant data shows KMDA's Accounts Payables at $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) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 9.22 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 3.83 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 4.58 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Kamada | 501.29 Mn | 210.35 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 | 27.97 Mn |
| Mar 31, 2023 | 26.21 Mn |
| Dec 31, 2022 | 32.92 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 Accounts 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=accounts-payables&ticker=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();