Cosmos Health (COSM) Total Non-Current Liabilities (2018 - 2026)
Cosmos Health's Total Non-Current Liabilities was $38.31 million in Q2 2026, up 13.8% from $33.67 million a year earlier but down 5.8% from the prior quarter.
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Analysis
Cosmos Health (COSM) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Cosmos Health came in at $44.5 million, up 59.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $27.82 million in FY2024 (-1.4%), $28.21 million in FY2023 (+3.0%), $27.4 million in FY2022 (-39.1%) and $45 million in FY2021 (-5.3%).
- Quarterly Total Non-Current Liabilities has moved between $24.01 million (Q1 2023) and $45 million (Q4 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for six straight quarters, with growth averaging 25.6% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 59.9%); the worst was Q1 2023 (a decline of 46.4%).
- Per Business Quant data, COSM's Total Non-Current Liabilities in the three quarters before Q2 2026 was $40.66 million (Q1 2026), $44.5 million (Q4 2025) and $44.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Cosmos Health | 25.77 Mn | 21.70 Mn | 1.51 Mn | 38.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.31 Mn |
| Mar 31, 2026 | 40.66 Mn |
| Dec 31, 2025 | 44.50 Mn |
| Sep 30, 2025 | 44.67 Mn |
| Jun 30, 2025 | 33.67 Mn |
| Mar 31, 2025 | 29.14 Mn |
| Dec 31, 2024 | 27.82 Mn |
| Sep 30, 2024 | 28.33 Mn |
| Jun 30, 2024 | 27.69 Mn |
| Mar 31, 2024 | 26.78 Mn |
| Dec 31, 2023 | 28.21 Mn |
| Sep 30, 2023 | 27.01 Mn |
| Jun 30, 2023 | 24.12 Mn |
| Mar 31, 2023 | 24.01 Mn |
| Dec 31, 2022 | 27.40 Mn |
| Sep 30, 2022 | 42.14 Mn |
| Jun 30, 2022 | 42.67 Mn |
| Mar 31, 2022 | 44.83 Mn |
| Dec 31, 2021 | 45.00 Mn |
| Sep 30, 2021 | 42.91 Mn |
API Access
Cosmos Health Total Non-Current 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-non-current-liabilities&ticker=COSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=COSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();