Axsome Therapeutics (AXSM) Other Accumulated Expenses (2015 - 2026)
Axsome Therapeutics' Other Accumulated Expenses came in at $204.63 million for Q2 2026, up 73.2% from $118.17 million a year earlier and up 20.2% from the prior quarter.
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Analysis
Axsome Therapeutics (AXSM) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Axsome Therapeutics' Other Accumulated Expenses was $150.25 million, up 103.2% from FY2024.
- Other Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 228.3% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $73.95 million in FY2024 (+58.3%), $46.71 million in FY2023 (+76.0%), $26.55 million in FY2022 and $385,347 in FY2021 (-2.2%).
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q4 2015.
- Year-over-year, Other Accumulated Expenses has increased for 13 consecutive quarters, with growth averaging 82.2% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q2 2023 (growth of 648.2%), and the weakest in Q3 2021 (a decline of 63.0%).
- Business Quant data shows AXSM's Other Accumulated Expenses at $170.24 million (Q1 2026), $150.25 million (Q4 2025) and $139.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Axsome Therapeutics | 9.37 Bn | 8.10 Bn | 204.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.63 Mn |
| Mar 31, 2026 | 170.24 Mn |
| Dec 31, 2025 | 150.25 Mn |
| Sep 30, 2025 | 139.47 Mn |
| Jun 30, 2025 | 118.17 Mn |
| Mar 31, 2025 | 95.77 Mn |
| Dec 31, 2024 | 73.95 Mn |
| Sep 30, 2024 | 68.77 Mn |
| Jun 30, 2024 | 63.53 Mn |
| Mar 31, 2024 | 49.34 Mn |
| Dec 31, 2023 | 46.71 Mn |
| Sep 30, 2023 | 42.40 Mn |
| Jun 30, 2023 | 36.03 Mn |
| Mar 31, 2023 | 30.43 Mn |
| Dec 31, 2022 | 26.55 Mn |
| Sep 30, 2022 | 14.46 Mn |
| Jun 30, 2022 | 4.82 Mn |
| Mar 31, 2022 | 390,556.00 |
| Dec 31, 2021 | 385,347.00 |
| Sep 30, 2021 | 381,250.00 |
API Access
Axsome Therapeutics Other 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=other-accumulated-expenses&ticker=AXSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=AXSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();