Kamada (KMDA) Receivables (2012 - 2026)
Kamada (KMDA) reported Receivables of $44.01 million for the quarter ended Jun 30, 2026, up 14.9% from $38.31 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Kamada (KMDA) Receivables (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Kamada posted Receivables of $34.55 million, up 16.9% from the prior year.
- Receivables has a five-year compound annual growth rate of 7.4% (years ended Dec 2020 to Dec 2025).
- By year, Receivables came in at $29.57 million in the year ended Dec 31, 2024 (+4.2%), $28.37 million in the year ended Dec 31, 2023 (-18.5%), $34.83 million in the year ended Dec 31, 2022 (-14.5%) and $40.72 million in the year ended Dec 31, 2021 (+68.5%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Receivables in data going back to the quarter ended Jun 30, 2012.
- Year over year, Receivables has now increased in each of the last six quarters, with growth averaging 20.9% over the last eight quarters.
- The high point for year-over-year Receivables in five years was the quarter ended Dec 31, 2021 (growth of 68.5%); the low point was the quarter ended Dec 31, 2023 (a decline of 34.9%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $43.94 million (quarter ended Mar 31, 2026), $34.55 million (quarter ended Dec 31, 2025) and $39.07 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Kamada | 497.25 Mn | 206.31 Mn | 22.47 Mn | 44.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.01 Mn |
| Mar 31, 2026 | 43.94 Mn |
| Dec 31, 2025 | 34.55 Mn |
| Sep 30, 2025 | 39.07 Mn |
| Jun 30, 2025 | 38.31 Mn |
| Mar 31, 2025 | 35.80 Mn |
| Dec 31, 2024 | 21.81 Mn |
| Sep 30, 2024 | 24.45 Mn |
| Jun 30, 2024 | 34.49 Mn |
| Mar 31, 2024 | 27.24 Mn |
| Dec 31, 2023 | 22.69 Mn |
| Sep 30, 2023 | 33.65 Mn |
| Jun 30, 2023 | 32.85 Mn |
| Mar 31, 2023 | 28.68 Mn |
| Dec 31, 2022 | 34.83 Mn |
| Sep 30, 2022 | 31.16 Mn |
| Jun 30, 2022 | 24.10 Mn |
| Mar 31, 2022 | 27.56 Mn |
| Dec 31, 2021 | 40.72 Mn |
| Sep 30, 2021 | 31.54 Mn |
API Access
Kamada Receivables 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=receivables&ticker=KMDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=KMDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();