Amphastar Pharmaceuticals (AMPH) Total Non-Current Liabilities (2014 - 2026)
Amphastar Pharmaceuticals (AMPH) recorded Total Non-Current Liabilities of $946.17 million in Q2 2026, up 14.0% from $830.06 million a year earlier and up 11.9% from the prior quarter.
Amphastar Pharmaceuticals (AMPH) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Amphastar Pharmaceuticals reported Total Non-Current Liabilities of $810.52 million, down 1.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 36.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $824.23 million in FY2024 (-3.1%), $850.77 million in FY2023 (+328.0%), $198.76 million in FY2022 (-5.5%) and $210.35 million in FY2021 (+24.2%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2014.
- On a year-over-year basis, Total Non-Current Liabilities rose in three of the last eight quarters, with growth averaging 0.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 350.4% in Q3 2023, against a decline of 15.3% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $845.41 million (Q1 2026), $810.52 million (Q4 2025) and $860.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Amphastar Pharmaceuticals | 1.16 Bn | 23.86 Mn | 93.47 Mn | 946.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 946.17 Mn |
| Mar 31, 2026 | 845.41 Mn |
| Dec 31, 2025 | 810.52 Mn |
| Sep 30, 2025 | 860.21 Mn |
| Jun 30, 2025 | 830.06 Mn |
| Mar 31, 2025 | 850.57 Mn |
| Dec 31, 2024 | 824.23 Mn |
| Sep 30, 2024 | 790.46 Mn |
| Jun 30, 2024 | 759.37 Mn |
| Mar 31, 2024 | 883.98 Mn |
| Dec 31, 2023 | 850.77 Mn |
| Sep 30, 2023 | 933.79 Mn |
| Jun 30, 2023 | 771.40 Mn |
| Mar 31, 2023 | 209.90 Mn |
| Dec 31, 2022 | 198.76 Mn |
| Sep 30, 2022 | 207.34 Mn |
| Jun 30, 2022 | 209.08 Mn |
| Mar 31, 2022 | 221.22 Mn |
| Dec 31, 2021 | 210.35 Mn |
| Sep 30, 2021 | 206.62 Mn |
Amphastar Pharmaceuticals 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=AMPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AMPH", "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=AMPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();