Amneal Pharmaceuticals (AMRX) Cash & Equivalents (2017 - 2026)
Amneal Pharmaceuticals (AMRX) recorded Cash & Equivalents of $127.64 million in Q2 2026, up 78.4% from $71.54 million a year earlier but down 35.4% from the prior quarter.
Amneal Pharmaceuticals (AMRX) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, Amneal Pharmaceuticals reported Cash & Equivalents of $282.03 million, up 155.1% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, though with a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $110.55 million in FY2024 (+20.8%), $91.54 million in FY2023 (+252.4%), $25.98 million in FY2022 (-89.5%) and $247.79 million in FY2021 (-27.4%).
- Quarterly Cash & Equivalents has ranged from $25.98 million in Q4 2022 to $302.66 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 92.0% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 252.4% in Q4 2023, against a decline of 89.5% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $197.66 million (Q1 2026), $282.03 million (Q4 2025) and $201.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Amneal Pharmaceuticals | 6.48 Bn | 5.76 Bn | 334.51 Mn | 127.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.64 Mn |
| Mar 31, 2026 | 197.66 Mn |
| Dec 31, 2025 | 282.03 Mn |
| Sep 30, 2025 | 201.25 Mn |
| Jun 30, 2025 | 71.54 Mn |
| Mar 31, 2025 | 59.19 Mn |
| Dec 31, 2024 | 110.55 Mn |
| Sep 30, 2024 | 74.01 Mn |
| Jun 30, 2024 | 43.77 Mn |
| Mar 31, 2024 | 46.52 Mn |
| Dec 31, 2023 | 91.54 Mn |
| Sep 30, 2023 | 86.93 Mn |
| Jun 30, 2023 | 109.28 Mn |
| Mar 31, 2023 | 144.67 Mn |
| Dec 31, 2022 | 25.98 Mn |
| Sep 30, 2022 | 87.34 Mn |
| Jun 30, 2022 | 91.98 Mn |
| Mar 31, 2022 | 210.48 Mn |
| Dec 31, 2021 | 247.79 Mn |
| Sep 30, 2021 | 302.66 Mn |
Amneal Pharmaceuticals Cash & Equivalents 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=cash-and-equivalents&ticker=AMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();