Axsome Therapeutics (AXSM) Cash & Equivalents (2015 - 2026)
Axsome Therapeutics (AXSM) posted Cash & Equivalents of $319.85 million for Q2 2026, up 5.6% from $303.02 million a year earlier and up 4.8% from the prior quarter.
Axsome Therapeutics (AXSM) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Axsome Therapeutics' Cash & Equivalents came in at $322.93 million, up 2.4% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In prior years, Axsome Therapeutics' Cash & Equivalents was $315.35 million in FY2024 (-18.3%), $386.19 million in FY2023 (+92.3%), $200.84 million in FY2022 (+132.3%) and $86.47 million in FY2021 (-53.0%).
- Quarterly Cash & Equivalents has run from a low of $73.39 million in Q2 2022 to a high of $437.11 million in Q2 2023 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with an average decline of 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2023, with growth of 495.6%; the weakest was Q4 2021, with a decline of 53.0%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $305.11 million (Q1 2026), $322.93 million (Q4 2025) and $325.27 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 | Axsome Therapeutics | 9.37 Bn | 8.10 Bn | 204.81 Mn | 319.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 319.85 Mn |
| Mar 31, 2026 | 305.11 Mn |
| Dec 31, 2025 | 322.93 Mn |
| Sep 30, 2025 | 325.27 Mn |
| Jun 30, 2025 | 303.02 Mn |
| Mar 31, 2025 | 300.91 Mn |
| Dec 31, 2024 | 315.35 Mn |
| Sep 30, 2024 | 327.34 Mn |
| Jun 30, 2024 | 315.66 Mn |
| Mar 31, 2024 | 331.44 Mn |
| Dec 31, 2023 | 386.19 Mn |
| Sep 30, 2023 | 416.56 Mn |
| Jun 30, 2023 | 437.11 Mn |
| Mar 31, 2023 | 246.52 Mn |
| Dec 31, 2022 | 200.84 Mn |
| Sep 30, 2022 | 227.52 Mn |
| Jun 30, 2022 | 73.39 Mn |
| Mar 31, 2022 | 84.71 Mn |
| Dec 31, 2021 | 86.47 Mn |
| Sep 30, 2021 | 114.62 Mn |
Axsome Therapeutics 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=AXSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AXSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();