Amneal Pharmaceuticals (AMRX) Long-Term Debt Repayments (2017 - 2026)
Amneal Pharmaceuticals' Long-Term Debt Repayments was $6.19 million in Q2 2026, down 60.2% from $15.55 million a year earlier and down 95.6% from the prior quarter.
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Analysis
Amneal Pharmaceuticals (AMRX) Long-Term Debt Repayments (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amneal Pharmaceuticals' Long-Term Debt Repayments was -$2.92 billion through Jun 30, 2026; for FY2025, it was -$2.81 billion.
- In earlier years, Long-Term Debt Repayments was -$188.92 million in FY2024, -$414.08 million in FY2023, -$123.27 million in FY2022 and -$78.09 million in FY2021.
- Quarterly Long-Term Debt Repayments has moved between -$5.62 billion (Q4 2025) and $2.55 billion (Q3 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last five quarters, with growth averaging 31.4%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q1 2022 (growth of 879.6%); the worst was Q2 2023 (a decline of 72.0%).
- Per Business Quant data, AMRX's Long-Term Debt Repayments in the three quarters before Q2 2026 was $140.84 million (Q1 2026), -$5.62 billion (Q4 2025) and $2.55 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Amneal Pharmaceuticals | 6.46 Bn | 5.65 Bn | 334.51 Mn | 6.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.19 Mn |
| Mar 31, 2026 | 140.84 Mn |
| Dec 31, 2025 | -5.62 Bn |
| Sep 30, 2025 | 2.55 Bn |
| Jun 30, 2025 | 15.55 Mn |
| Mar 31, 2025 | 235.53 Mn |
| Dec 31, 2024 | -322.30 Mn |
| Sep 30, 2024 | 87.21 Mn |
| Jun 30, 2024 | 27.00 Mn |
| Mar 31, 2024 | 63.38 Mn |
| Dec 31, 2023 | -565.59 Mn |
| Sep 30, 2023 | 63.94 Mn |
| Jun 30, 2023 | 14.91 Mn |
| Mar 31, 2023 | 72.66 Mn |
| Dec 31, 2022 | -228.89 Mn |
| Sep 30, 2022 | 42.61 Mn |
| Jun 30, 2022 | 53.21 Mn |
| Mar 31, 2022 | 9.80 Mn |
| Dec 31, 2021 | -146.33 Mn |
| Sep 30, 2021 | 68.24 Mn |
API Access
Amneal Pharmaceuticals 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=AMRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AMRX", "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=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();