Alkermes (ALKS) Property, Plant & Equipment (Net) (2011 - 2026)
Alkermes (ALKS) recorded Property, Plant & Equipment (Net) of $218.28 million in Q2 2026, down 8.8% from $239.4 million a year earlier and down 1.0% from the prior quarter.
Alkermes (ALKS) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Alkermes reported Property, Plant & Equipment (Net) of $221.72 million, down 2.6% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -8.7% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $227.56 million in FY2024 (+0.3%), $226.94 million in FY2023 (+1.8%), $222.92 million in FY2022 (-34.6%) and $341.05 million in FY2021 (-2.6%).
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q1 2013.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with an average decline of 3.3% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 9.6% in Q3 2025, against a decline of 34.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $220.59 million (Q1 2026), $221.72 million (Q4 2025) and $246.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Alkermes | 6.99 Bn | 4.13 Bn | 397.90 Mn | 218.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218.28 Mn |
| Mar 31, 2026 | 220.59 Mn |
| Dec 31, 2025 | 221.72 Mn |
| Sep 30, 2025 | 246.98 Mn |
| Jun 30, 2025 | 239.40 Mn |
| Mar 31, 2025 | 233.92 Mn |
| Dec 31, 2024 | 227.56 Mn |
| Sep 30, 2024 | 225.42 Mn |
| Jun 30, 2024 | 222.74 Mn |
| Mar 31, 2024 | 224.59 Mn |
| Dec 31, 2023 | 226.94 Mn |
| Sep 30, 2023 | 327.52 Mn |
| Jun 30, 2023 | 323.80 Mn |
| Mar 31, 2023 | 321.11 Mn |
| Dec 31, 2022 | 222.92 Mn |
| Sep 30, 2022 | 326.35 Mn |
| Jun 30, 2022 | 337.15 Mn |
| Mar 31, 2022 | 336.74 Mn |
| Dec 31, 2021 | 341.05 Mn |
| Sep 30, 2021 | 340.59 Mn |
Alkermes Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ALKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "ALKS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=ALKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();