Axsome Therapeutics (AXSM) Accumulated Expenses (2014 - 2026)
Axsome Therapeutics (AXSM) posted Accumulated Expenses of $12.93 million for Q3 2026, up 1.8% from $12.7 million a year earlier and up 18.8% from the prior quarter.
Powered by 
Analysis
Axsome Therapeutics (AXSM) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Axsome Therapeutics' Accumulated Expenses came in at $8.7 million, down 45.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In prior years, Axsome Therapeutics' Accumulated Expenses was $15.97 million in FY2024 (+95.7%), $8.16 million in FY2023 (+46.0%), $5.59 million in FY2022 (+99.4%) and $2.8 million in FY2021 (-40.2%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses since Q4 2024.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 2.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2024, with growth of 270.1%; the weakest was Q4 2025, with a decline of 45.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $10.88 million (Q2 2026), $10.22 million (Q1 2026) and $8.7 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Axsome Therapeutics | 7.41 Bn | 6.15 Bn | 241.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.93 Mn |
| Jun 30, 2026 | 10.88 Mn |
| Mar 31, 2026 | 10.22 Mn |
| Dec 31, 2025 | 8.70 Mn |
| Sep 30, 2025 | 12.70 Mn |
| Jun 30, 2025 | 10.20 Mn |
| Mar 31, 2025 | 12.79 Mn |
| Dec 31, 2024 | 15.97 Mn |
| Sep 30, 2024 | 16.90 Mn |
| Jun 30, 2024 | 15.17 Mn |
| Mar 31, 2024 | 9.28 Mn |
| Dec 31, 2023 | 8.16 Mn |
| Sep 30, 2023 | 5.93 Mn |
| Jun 30, 2023 | 4.10 Mn |
| Mar 31, 2023 | 5.08 Mn |
| Dec 31, 2022 | 5.59 Mn |
| Sep 30, 2022 | 5.73 Mn |
| Jun 30, 2022 | 3.59 Mn |
| Mar 31, 2022 | 3.12 Mn |
| Dec 31, 2021 | 2.80 Mn |
API Access
Axsome Therapeutics 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=AXSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AXSM", "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=AXSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();