Kamada (KMDA) Other Accumulated Expenses (2012 - 2026)
Kamada (KMDA) recorded Other Accumulated Expenses of $12.33 million in the quarter ended Jun 30, 2026, up 40.0% from $8.8 million a year earlier but down 50.5% from the prior quarter.
Kamada (KMDA) Other Accumulated Expenses (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Kamada reported Other Accumulated Expenses of $12.11 million, up 25.2% from the prior year.
- Annual Other Accumulated Expenses has increased for four straight years, with a five-year compound annual growth rate of 9.9% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $9.67 million in the year ended Dec 31, 2024 (+17.1%), $8.26 million in the year ended Dec 31, 2023 (+8.9%), $7.59 million in the year ended Dec 31, 2022 (+6.2%) and $7.14 million in the year ended Dec 31, 2021 (-5.4%).
- Quarterly Other Accumulated Expenses has ranged from $6.11 million in the quarter ended Jun 30, 2022 to $24.93 million in the quarter ended Mar 31, 2026 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 46.4% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 211.1% in the quarter ended Mar 31, 2025, against a decline of 15.5% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.93 million (quarter ended Mar 31, 2026), $12.11 million (quarter ended Dec 31, 2025) and $9.44 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Kamada | 479.37 Mn | 188.43 Mn | 22.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.33 Mn |
| Mar 31, 2026 | 24.93 Mn |
| Dec 31, 2025 | 12.11 Mn |
| Sep 30, 2025 | 9.44 Mn |
| Jun 30, 2025 | 8.80 Mn |
| Mar 31, 2025 | 19.32 Mn |
| Dec 31, 2024 | 9.67 Mn |
| Sep 30, 2024 | 8.10 Mn |
| Jun 30, 2024 | 7.23 Mn |
| Mar 31, 2024 | 6.21 Mn |
| Dec 31, 2023 | 8.26 Mn |
| Sep 30, 2023 | 7.32 Mn |
| Jun 30, 2023 | 7.24 Mn |
| Mar 31, 2023 | 7.35 Mn |
| Dec 31, 2022 | 7.59 Mn |
| Sep 30, 2022 | 7.95 Mn |
| Jun 30, 2022 | 6.11 Mn |
| Mar 31, 2022 | 6.67 Mn |
| Dec 31, 2021 | 7.14 Mn |
| Sep 30, 2021 | 6.35 Mn |
Kamada Other Accumulated Expenses 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=other-accumulated-expenses&ticker=KMDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();