Amphastar Pharmaceuticals (AMPH) Tax Provisions (2013 - 2026)
Amphastar Pharmaceuticals (AMPH) posted Tax Provisions of $8.2 million for Q2 2026, down 1.3% from $8.31 million a year earlier but up 125.7% from the prior quarter.
Amphastar Pharmaceuticals (AMPH) Tax Provisions (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Amphastar Pharmaceuticals was $23.48 million, down 13.5% year-over-year; for FY2025, it came in at $25.53 million, down 14.0% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 48.5% (FY2020 to FY2025).
- In prior years, Amphastar Pharmaceuticals' Tax Provisions was $29.67 million in FY2024 (-6.8%), $31.83 million in FY2023 (+35.6%), $23.48 million in FY2022 (+13.8%) and $20.63 million in FY2021 (+482.8%).
- Quarterly Tax Provisions has run from a low of $3.63 million in Q1 2026 to a high of $14.03 million in Q3 2023 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last eight quarters, with an average decline of 8.9%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2022, with growth of 253.0%; the weakest was Q3 2024, with a decline of 48.3%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $3.63 million (Q1 2026), $7.49 million (Q4 2025) and $4.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 2.15 Bn |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 1.21 Bn |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 662.00 Mn |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | 654.00 Mn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 1.01 Bn |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 291.00 Mn |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 393.00 Mn |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | 242.00 Mn |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | -407.00 Mn |
| 10 | Amphastar Pharmaceuticals | 1.14 Bn | -240,866.64 | 93.47 Mn | 8.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.20 Mn |
| Mar 31, 2026 | 3.63 Mn |
| Dec 31, 2025 | 7.49 Mn |
| Sep 30, 2025 | 4.16 Mn |
| Jun 30, 2025 | 8.31 Mn |
| Mar 31, 2025 | 5.58 Mn |
| Dec 31, 2024 | 6.00 Mn |
| Sep 30, 2024 | 7.25 Mn |
| Jun 30, 2024 | 12.29 Mn |
| Mar 31, 2024 | 4.13 Mn |
| Dec 31, 2023 | 4.67 Mn |
| Sep 30, 2023 | 14.03 Mn |
| Jun 30, 2023 | 6.38 Mn |
| Mar 31, 2023 | 6.75 Mn |
| Dec 31, 2022 | 7.29 Mn |
| Sep 30, 2022 | 6.56 Mn |
| Jun 30, 2022 | 5.55 Mn |
| Mar 31, 2022 | 4.08 Mn |
| Dec 31, 2021 | 7.19 Mn |
| Sep 30, 2021 | 6.69 Mn |
Amphastar Pharmaceuticals Tax Provisions 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=tax-provisions&ticker=AMPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=AMPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();