Amphastar Pharmaceuticals (AMPH) Total Liabilities (2013 - 2026)
Amphastar Pharmaceuticals (AMPH) posted Total Liabilities of $975.61 million for Q2 2026, up 13.7% from $857.85 million a year earlier and up 11.5% from the prior quarter.
Amphastar Pharmaceuticals (AMPH) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Amphastar Pharmaceuticals' Total Liabilities came in at $840.49 million, down 0.6% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- In prior years, Amphastar Pharmaceuticals' Total Liabilities was $845.17 million in FY2024 (-3.2%), $873.49 million in FY2023 (+309.5%), $213.33 million in FY2022 (-5.6%) and $226.01 million in FY2021 (+23.8%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2013.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with growth averaging 1.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2023, with growth of 328.6%; the weakest was Q3 2024, with a decline of 13.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $874.77 million (Q1 2026), $840.49 million (Q4 2025) and $889.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Amphastar Pharmaceuticals | 1.13 Bn | -10.28 Mn | 93.47 Mn | 975.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 975.61 Mn |
| Mar 31, 2026 | 874.77 Mn |
| Dec 31, 2025 | 840.49 Mn |
| Sep 30, 2025 | 889.48 Mn |
| Jun 30, 2025 | 857.85 Mn |
| Mar 31, 2025 | 874.99 Mn |
| Dec 31, 2024 | 845.17 Mn |
| Sep 30, 2024 | 817.50 Mn |
| Jun 30, 2024 | 778.18 Mn |
| Mar 31, 2024 | 901.96 Mn |
| Dec 31, 2023 | 873.49 Mn |
| Sep 30, 2023 | 949.49 Mn |
| Jun 30, 2023 | 789.03 Mn |
| Mar 31, 2023 | 225.08 Mn |
| Dec 31, 2022 | 213.33 Mn |
| Sep 30, 2022 | 221.53 Mn |
| Jun 30, 2022 | 224.41 Mn |
| Mar 31, 2022 | 236.71 Mn |
| Dec 31, 2021 | 226.01 Mn |
| Sep 30, 2021 | 221.50 Mn |
Amphastar Pharmaceuticals 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=AMPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AMPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();