Amphastar Pharmaceuticals (AMPH) Operating Expenses (2013 - 2026)
Amphastar Pharmaceuticals (AMPH) recorded Operating Expenses of $53.74 million in Q2 2026, up 21.3% from $44.31 million a year earlier but down 5.2% from the prior quarter.
Amphastar Pharmaceuticals (AMPH) Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Amphastar Pharmaceuticals' Operating Expenses came in at $233.82 million as of Jun 30, 2026, up 30.9% year-over-year; for FY2025, it came in at $215.65 million, up 28.0% from FY2024.
- Annual Operating Expenses has increased for four straight years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $168.44 million in FY2024 (+9.3%), $154.13 million in FY2023 (+9.0%), $141.36 million in FY2022 (+8.9%) and $129.85 million in FY2021 (-1.9%).
- Quarterly Operating Expenses has ranged from $26.41 million in Q3 2021 to $73.33 million in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for six consecutive quarters, with growth averaging 21.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 63.3% in Q3 2025, against a decline of 19.9% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $56.69 million (Q1 2026), $50.06 million (Q4 2025) and $73.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Amphastar Pharmaceuticals | 1.16 Bn | 23.86 Mn | 93.47 Mn | 53.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.74 Mn |
| Mar 31, 2026 | 56.69 Mn |
| Dec 31, 2025 | 50.06 Mn |
| Sep 30, 2025 | 73.33 Mn |
| Jun 30, 2025 | 44.31 Mn |
| Mar 31, 2025 | 47.96 Mn |
| Dec 31, 2024 | 41.50 Mn |
| Sep 30, 2024 | 44.89 Mn |
| Jun 30, 2024 | 39.95 Mn |
| Mar 31, 2024 | 42.09 Mn |
| Dec 31, 2023 | 42.16 Mn |
| Sep 30, 2023 | 35.73 Mn |
| Jun 30, 2023 | 35.84 Mn |
| Mar 31, 2023 | 40.41 Mn |
| Dec 31, 2022 | 33.34 Mn |
| Sep 30, 2022 | 35.28 Mn |
| Jun 30, 2022 | 38.53 Mn |
| Mar 31, 2022 | 34.21 Mn |
| Dec 31, 2021 | 31.98 Mn |
| Sep 30, 2021 | 26.41 Mn |
Amphastar Pharmaceuticals Operating Expenses 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=operating-expenses&ticker=AMPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AMPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();