Alnylam Pharmaceuticals (ALNY) Accumulated Expenses (2009 - 2026)
Alnylam Pharmaceuticals' Accumulated Expenses was $1.1 billion in Q2 2026, up 19.3% from $918.97 million a year earlier and up 15.8% from the prior quarter.
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Analysis
Alnylam Pharmaceuticals (ALNY) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Alnylam Pharmaceuticals came in at $1.08 billion, up 36.1% from FY2024.
- Accumulated Expenses has now increased for 13 consecutive years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $793.69 million in FY2024 (+11.3%), $713.01 million in FY2023 (+30.7%), $545.46 million in FY2022 (+38.0%) and $395.17 million in FY2021 (+11.0%).
- Quarterly Accumulated Expenses has moved between $355.94 million (Q1 2022) and $1.15 billion (Q3 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has increased for 43 straight quarters, with growth averaging 21.3% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 0.8% (Q1 2025) and 42.9% (Q1 2023) over the last five years.
- Per Business Quant data, ALNY's Accumulated Expenses in the three quarters before Q2 2026 was $946.49 million (Q1 2026), $1.08 billion (Q4 2025) and $1.15 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn |
| 10 | Alnylam Pharmaceuticals | 34.23 Bn | 22.28 Bn | 992.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Bn |
| Mar 31, 2026 | 946.49 Mn |
| Dec 31, 2025 | 1.08 Bn |
| Sep 30, 2025 | 1.15 Bn |
| Jun 30, 2025 | 918.97 Mn |
| Mar 31, 2025 | 704.17 Mn |
| Dec 31, 2024 | 793.69 Mn |
| Sep 30, 2024 | 946.17 Mn |
| Jun 30, 2024 | 808.64 Mn |
| Mar 31, 2024 | 698.87 Mn |
| Dec 31, 2023 | 713.01 Mn |
| Sep 30, 2023 | 713.09 Mn |
| Jun 30, 2023 | 598.53 Mn |
| Mar 31, 2023 | 508.60 Mn |
| Dec 31, 2022 | 545.46 Mn |
| Sep 30, 2022 | 510.58 Mn |
| Jun 30, 2022 | 421.24 Mn |
| Mar 31, 2022 | 355.94 Mn |
| Dec 31, 2021 | 395.17 Mn |
| Sep 30, 2021 | 388.58 Mn |
API Access
Alnylam Pharmaceuticals 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=accumulated-expenses&ticker=ALNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ALNY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ALNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();