Amneal Pharmaceuticals (AMRX) Asset Writedowns and Impairment (2017 - 2026)
Amneal Pharmaceuticals' Asset Writedowns and Impairment came in at $31.6 million for Q2 2026, up 136.7% from the prior quarter.
Amneal Pharmaceuticals (AMRX) Asset Writedowns and Impairment (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Amneal Pharmaceuticals reported Asset Writedowns and Impairment of $94.39 million, up 19.9% year-over-year; for FY2025, it came in at $85.96 million, down 11.0% from FY2024.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Going back by year, Asset Writedowns and Impairment was $96.56 million in FY2024 (+29.3%), $74.69 million in FY2023 (+46.2%), $51.1 million in FY2022 (-6.5%) and $54.66 million in FY2021 (-27.3%).
- The Q2 2026 figure represents the highest quarterly Asset Writedowns and Impairment since Q4 2024.
- Year-over-year, Asset Writedowns and Impairment increased in four of the last six quarters, with growth averaging 12.5%.
- The fastest year-over-year change in Asset Writedowns and Impairment over five years came in Q1 2023 (growth of 604.4%), and the weakest in Q1 2022 (a decline of 77.7%).
- Business Quant data shows AMRX's Asset Writedowns and Impairment at $13.35 million (Q1 2026), $26.64 million (Q4 2025) and $22.8 million (Q3 2025) in the three quarters before Q2 2026.
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 | 31.60 Mn |
| Mar 31, 2026 | 13.35 Mn |
| Dec 31, 2025 | 26.64 Mn |
| Sep 30, 2025 | 22.80 Mn |
| Mar 31, 2025 | 23.67 Mn |
| Dec 31, 2024 | 32.95 Mn |
| Sep 30, 2024 | 22.12 Mn |
| Jun 30, 2024 | 18.57 Mn |
| Mar 31, 2024 | 22.92 Mn |
| Dec 31, 2023 | 18.05 Mn |
| Sep 30, 2023 | 14.83 Mn |
| Jun 30, 2023 | 16.60 Mn |
| Mar 31, 2023 | 25.20 Mn |
| Dec 31, 2022 | 22.21 Mn |
| Sep 30, 2022 | 11.14 Mn |
| Jun 30, 2022 | 14.17 Mn |
| Mar 31, 2022 | 3.58 Mn |
| Dec 31, 2021 | 15.37 Mn |
| Sep 30, 2021 | 13.49 Mn |
| Jun 30, 2021 | 9.78 Mn |
Amneal Pharmaceuticals Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=AMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();