Amneal Pharmaceuticals (AMRX) Other Accumulated Expenses (2018 - 2026)
Amneal Pharmaceuticals (AMRX) posted Other Accumulated Expenses of $18.49 million for Q2 2026, down 55.5% from $41.52 million a year earlier but up 75.2% from the prior quarter.
Amneal Pharmaceuticals (AMRX) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Amneal Pharmaceuticals' Other Accumulated Expenses came in at $43.26 million, up 36.2% from FY2024.
- Annual Other Accumulated Expenses shows a four-year compound annual growth rate of -7.1% (FY2021 to FY2025).
- In prior years, Amneal Pharmaceuticals' Other Accumulated Expenses was $31.76 million in FY2024 (-58.8%), $76.99 million in FY2023 (-28.4%), $107.48 million in FY2022 (+85.3%) and $58 million in FY2021.
- Quarterly Other Accumulated Expenses has run from a low of $10.55 million in Q1 2026 to a high of $275.34 million in Q2 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in four of the last eight quarters, with an average decline of 12.6%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q4 2022, with growth of 85.3%; the weakest was Q1 2026, with a decline of 75.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $10.55 million (Q1 2026), $43.26 million (Q4 2025) and $40.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Amneal Pharmaceuticals | 6.48 Bn | 5.76 Bn | 334.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.49 Mn |
| Mar 31, 2026 | 10.55 Mn |
| Dec 31, 2025 | 43.26 Mn |
| Sep 30, 2025 | 40.60 Mn |
| Jun 30, 2025 | 41.52 Mn |
| Mar 31, 2025 | 43.50 Mn |
| Dec 31, 2024 | 31.76 Mn |
| Sep 30, 2024 | 30.18 Mn |
| Jun 30, 2024 | 30.74 Mn |
| Mar 31, 2024 | 30.13 Mn |
| Dec 31, 2023 | 76.99 Mn |
| Sep 30, 2023 | 76.83 Mn |
| Jun 30, 2023 | 77.01 Mn |
| Mar 31, 2023 | 76.32 Mn |
| Dec 31, 2022 | 107.48 Mn |
| Sep 30, 2022 | 176.09 Mn |
| Jun 30, 2022 | 275.34 Mn |
| Dec 31, 2021 | 58.00 Mn |
| Dec 31, 2019 | 35.90 Mn |
| Dec 31, 2018 | 36.19 Mn |
Amneal Pharmaceuticals Other Accumulated 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=other-accumulated-expenses&ticker=AMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();