Cosmos Health (COSM) Total Liabilities (2011 - 2026)
Cosmos Health (COSM) posted Total Liabilities of $40.79 million for Q2 2026, up 14.6% from $35.6 million a year earlier but down 4.1% from the prior quarter.
Cosmos Health (COSM) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Cosmos Health's Total Liabilities came in at $47.05 million, up 58.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Cosmos Health's Total Liabilities was $29.78 million in FY2024 (-0.6%), $29.97 million in FY2023 (+4.2%), $28.75 million in FY2022 (-36.2%) and $45.05 million in FY2021 (-6.2%).
- Quarterly Total Liabilities has run from a low of $24.01 million in Q1 2023 to a high of $47.05 million in Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 26.2% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 58.0%; the weakest was Q1 2023, with a decline of 46.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $42.54 million (Q1 2026), $47.05 million (Q4 2025) and $46.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Cosmos Health | 15.58 Mn | 11.51 Mn | 1.51 Mn | 40.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.79 Mn |
| Mar 31, 2026 | 42.54 Mn |
| Dec 31, 2025 | 47.05 Mn |
| Sep 30, 2025 | 46.36 Mn |
| Jun 30, 2025 | 35.60 Mn |
| Mar 31, 2025 | 31.24 Mn |
| Dec 31, 2024 | 29.78 Mn |
| Sep 30, 2024 | 29.54 Mn |
| Jun 30, 2024 | 28.71 Mn |
| Mar 31, 2024 | 27.80 Mn |
| Dec 31, 2023 | 29.97 Mn |
| Sep 30, 2023 | 27.33 Mn |
| Jun 30, 2023 | 24.92 Mn |
| Mar 31, 2023 | 24.01 Mn |
| Dec 31, 2022 | 28.75 Mn |
| Sep 30, 2022 | 42.18 Mn |
| Jun 30, 2022 | 42.71 Mn |
| Mar 31, 2022 | 44.86 Mn |
| Dec 31, 2021 | 45.05 Mn |
| Sep 30, 2021 | 43.03 Mn |
Cosmos Health Total 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-liabilities&ticker=COSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "COSM", "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-liabilities&ticker=COSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();