Cosmos Health (COSM) Long-Term Debt Repayments (2011 - 2026)
Cosmos Health (COSM) recorded Long-Term Debt Repayments of $230,219 in Q2 2026, down 58.6% from $555,977 a year earlier and down 11.0% from the prior quarter.
Cosmos Health (COSM) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
On a TTM basis, Cosmos Health's Long-Term Debt Repayments came in at $1.63 million as of Jun 30, 2026, up 27.2% year-over-year; for FY2025, it came in at $1.88 million, up 72.3% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -18.5% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $1.09 million in FY2024 (+992.1%), $100,000 in FY2023 (-97.9%), $4.82 million in FY2022 (+431.9%) and $907,000 in FY2021 (-82.7%).
- The Q2 2026 figure is the lowest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last seven quarters, with growth averaging 39.6%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 215.5% in Q3 2025, against a decline of 96.3% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $258,640 (Q1 2026), $307,980 (Q4 2025) and $833,970 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | - |
| 10 | Cosmos Health | 15.39 Mn | 11.32 Mn | 1.51 Mn | 232,156.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 232,156.00 |
| Mar 31, 2026 | 260,588.00 |
| Dec 31, 2025 | 310,386.00 |
| Sep 30, 2025 | 836,676.00 |
| Jun 30, 2025 | 555,640.00 |
| Mar 31, 2025 | 195,853.00 |
| Dec 31, 2024 | 304,867.00 |
| Sep 30, 2024 | 273,267.00 |
| Jun 30, 2024 | 194,277.00 |
| Mar 31, 2024 | 380,740.00 |
| Dec 31, 2023 | -1.59 Mn |
| Sep 30, 2023 | 1.54 Mn |
| Jun 30, 2023 | -1.20 Mn |
| Mar 31, 2023 | 1.38 Mn |
| Dec 31, 2022 | 3.85 Mn |
| Sep 30, 2022 | 90,265.00 |
| Mar 31, 2022 | 2.31 Mn |
| Dec 31, 2021 | 186,611.00 |
| Sep 30, 2021 | 910,292.00 |
| Jun 30, 2021 | 261,828.00 |
Cosmos Health Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=COSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=COSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();