Amneal Pharmaceuticals (AMRX) Change in Accured Expenses (2017 - 2026)
Amneal Pharmaceuticals (AMRX) posted Change in Accured Expenses of $66.66 million for Q2 2026, up 46.1% from $45.62 million a year earlier.
Amneal Pharmaceuticals (AMRX) Change in Accured Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Amneal Pharmaceuticals was $30.41 million, down 34.0% year-over-year; for FY2025, it came in at $21.32 million, down 90.9% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 133.5% (FY2020 to FY2025).
- In prior years, Amneal Pharmaceuticals' Change in Accured Expenses was $235.14 million in FY2024, -$94.45 million in FY2023, $109.57 million in FY2022 and -$43.93 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$150.48 million in Q1 2023 to a high of $322.72 million in Q2 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 8.2%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$124.58 million (Q1 2026), $18.58 million (Q4 2025) and $69.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Amneal Pharmaceuticals | 6.48 Bn | 5.76 Bn | 334.51 Mn | 66.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.66 Mn |
| Mar 31, 2026 | -124.58 Mn |
| Dec 31, 2025 | 18.58 Mn |
| Sep 30, 2025 | 69.75 Mn |
| Jun 30, 2025 | 45.62 Mn |
| Mar 31, 2025 | -112.63 Mn |
| Dec 31, 2024 | 66.26 Mn |
| Sep 30, 2024 | 46.85 Mn |
| Jun 30, 2024 | 59.85 Mn |
| Mar 31, 2024 | 62.17 Mn |
| Dec 31, 2023 | -19.76 Mn |
| Sep 30, 2023 | 33.08 Mn |
| Jun 30, 2023 | 42.72 Mn |
| Mar 31, 2023 | -150.48 Mn |
| Dec 31, 2022 | -55.87 Mn |
| Sep 30, 2022 | -108.51 Mn |
| Jun 30, 2022 | 322.72 Mn |
| Mar 31, 2022 | -48.78 Mn |
| Dec 31, 2021 | -11.11 Mn |
| Sep 30, 2021 | -11.68 Mn |
Amneal Pharmaceuticals Change in Accured 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=change-in-accured-expenses&ticker=AMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();