Kamada (KMDA) Operating Leases (2018 - 2026)
Kamada (KMDA) reported Operating Leases of $9.52 million for the quarter ended Jun 30, 2026, down 0.4% from $9.55 million a year earlier but up 0.8% from the prior quarter.
Kamada (KMDA) Operating Leases (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Kamada posted Operating Leases of $9.44 million, up 0.1% from the prior year.
- Operating Leases has increased for three consecutive years, with a five-year compound annual growth rate of 21.3% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $9.43 million in the year ended Dec 31, 2024 (+26.8%), $7.44 million in the year ended Dec 31, 2023 (+241.7%), $2.18 million in the year ended Dec 31, 2022 (-31.1%) and $3.16 million in the year ended Dec 31, 2021 (-12.1%).
- Five-year quarterly Operating Leases spans a low of $2.18 million in the quarter ended Dec 31, 2022 and a high of $9.57 million in the quarter ended Sep 30, 2024.
- Year over year, Operating Leases gained in six of the last eight quarters, with growth averaging 24.2%.
- The high point for year-over-year Operating Leases in five years was the quarter ended Dec 31, 2023 (growth of 241.7%); the low point was the quarter ended Dec 31, 2022 (a decline of 31.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $9.44 million (quarter ended Mar 31, 2026), $9.44 million (quarter ended Dec 31, 2025) and $9.56 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | Kamada | 441.57 Mn | 150.63 Mn | 22.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.52 Mn |
| Mar 31, 2026 | 9.44 Mn |
| Dec 31, 2025 | 9.44 Mn |
| Sep 30, 2025 | 9.56 Mn |
| Jun 30, 2025 | 9.55 Mn |
| Mar 31, 2025 | 9.32 Mn |
| Dec 31, 2024 | 9.43 Mn |
| Sep 30, 2024 | 9.57 Mn |
| Jun 30, 2024 | 7.07 Mn |
| Mar 31, 2024 | 7.28 Mn |
| Dec 31, 2023 | 7.44 Mn |
| Sep 30, 2023 | 4.72 Mn |
| Jun 30, 2023 | 4.97 Mn |
| Mar 31, 2023 | 4,992.00 |
| Dec 31, 2022 | 2.18 Mn |
| Sep 30, 2022 | 2.41 Mn |
| Jun 30, 2022 | 2.49 Mn |
| Mar 31, 2022 | 3.06 Mn |
| Dec 31, 2021 | 3.16 Mn |
| Sep 30, 2021 | 3.28 Mn |
Kamada Operating Leases 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=operating-leases&ticker=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();