Kamada (KMDA) Total Non-Current Liabilities (2012 - 2026)
Kamada's Total Non-Current Liabilities was $64.45 million in the quarter ended Jun 30, 2026, up 3.2% from $62.45 million a year earlier and up 0.9% from the prior quarter.
Kamada (KMDA) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Non-Current Liabilities at Kamada came in at $62.25 million, down 1.8% from the prior year.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 54.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Non-Current Liabilities was $63.4 million in the year ended Dec 31, 2024 (+3.4%), $61.29 million in the year ended Dec 31, 2023 (-13.2%), $70.65 million in the year ended Dec 31, 2022 (-19.5%) and $87.79 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Total Non-Current Liabilities since the quarter ended Mar 31, 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in five of the last seven quarters, with growth averaging 2.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was the quarter ended Jun 30, 2022 (growth of 954.5%); the worst was the quarter ended Sep 30, 2023 (a decline of 21.2%).
- Per Business Quant data, KMDA's Total Non-Current Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $63.86 million (quarter ended Mar 31, 2026), $62.25 million (quarter ended Dec 31, 2025) and $64.14 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Kamada | 452.52 Mn | 161.58 Mn | 22.47 Mn | 64.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.45 Mn |
| Mar 31, 2026 | 63.86 Mn |
| Dec 31, 2025 | 62.25 Mn |
| Sep 30, 2025 | 64.14 Mn |
| Jun 30, 2025 | 62.45 Mn |
| Mar 31, 2025 | 66.10 Mn |
| Dec 31, 2024 | 63.40 Mn |
| Sep 30, 2024 | 61.94 Mn |
| Jun 30, 2024 | 58.99 Mn |
| Mar 31, 2024 | 59.49 Mn |
| Dec 31, 2023 | 61.29 Mn |
| Sep 30, 2023 | 61.39 Mn |
| Jun 30, 2023 | 71.81 Mn |
| Mar 31, 2023 | 72,712.00 |
| Dec 31, 2022 | 70.65 Mn |
| Sep 30, 2022 | 77,936.00 |
| Jun 30, 2022 | 82.88 Mn |
| Mar 31, 2022 | 85.72 Mn |
| Dec 31, 2021 | 87.79 Mn |
| Sep 30, 2021 | 8.33 Mn |
Kamada Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();