Kamada (KMDA) Accumulated Expenses (2016 - 2025)
Kamada (KMDA) reported Accumulated Expenses of $1.84 million for the quarter ended Dec 31, 2025, up 306.4% from $453,000 a year earlier.
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Analysis
Kamada (KMDA) Accumulated Expenses (2016 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2016, Kamada's Accumulated Expenses record includes 10 quarters.
- Accumulated Expenses has a five-year compound annual growth rate of 44.3% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $453,000 in the year ended Dec 31, 2024 (-16.4%), $542,000 in the year ended Dec 31, 2023 (-11.0%), $609,000 in the year ended Dec 31, 2022 (+3.7%) and $587,000 in the year ended Dec 31, 2021 (+99.7%).
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Accumulated Expenses in data going back to the quarter ended Dec 31, 2016.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 453,000.00 |
| Dec 31, 2023 | 542,000.00 |
| Dec 31, 2022 | 609,000.00 |
| Dec 31, 2021 | 587,000.00 |
| Dec 31, 2020 | 294,000.00 |
| Dec 31, 2019 | 142,000.00 |
| Dec 31, 2018 | 489,000.00 |
| Dec 31, 2017 | 1.08 Mn |
| Dec 31, 2016 | 1.45 Mn |
API Access
Kamada 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=accumulated-expenses&ticker=KMDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();