Axsome Therapeutics (AXSM) Total Liabilities (2015 - 2026)
Axsome Therapeutics (AXSM) posted Total Liabilities of $678.14 million for Q2 2026, up 19.7% from $566.71 million a year earlier and up 2.9% from the prior quarter.
Axsome Therapeutics (AXSM) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Axsome Therapeutics' Total Liabilities came in at $601.51 million, up 17.6% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 52.7% (FY2020 to FY2025).
- In prior years, Axsome Therapeutics' Total Liabilities was $511.48 million in FY2024 (+28.8%), $397.26 million in FY2023 (+79.0%), $221.92 million in FY2022 (+207.6%) and $72.15 million in FY2021 (-0.3%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2015.
- On a year-over-year basis, Total Liabilities has increased in each of the last 18 quarters, with growth averaging 27.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2023, with growth of 275.5%; the weakest was Q4 2021, with a decline of 0.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $659.02 million (Q1 2026), $601.51 million (Q4 2025) and $595.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Axsome Therapeutics | 8.09 Bn | 6.82 Bn | 204.81 Mn | 678.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 678.14 Mn |
| Mar 31, 2026 | 659.02 Mn |
| Dec 31, 2025 | 601.51 Mn |
| Sep 30, 2025 | 595.52 Mn |
| Jun 30, 2025 | 566.71 Mn |
| Mar 31, 2025 | 543.47 Mn |
| Dec 31, 2024 | 511.48 Mn |
| Sep 30, 2024 | 468.56 Mn |
| Jun 30, 2024 | 445.37 Mn |
| Mar 31, 2024 | 401.69 Mn |
| Dec 31, 2023 | 397.26 Mn |
| Sep 30, 2023 | 331.35 Mn |
| Jun 30, 2023 | 332.83 Mn |
| Mar 31, 2023 | 277.37 Mn |
| Dec 31, 2022 | 221.92 Mn |
| Sep 30, 2022 | 181.60 Mn |
| Jun 30, 2022 | 165.36 Mn |
| Mar 31, 2022 | 73.86 Mn |
| Dec 31, 2021 | 72.15 Mn |
| Sep 30, 2021 | 73.88 Mn |
Axsome Therapeutics Total Liabilities 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=total-liabilities&ticker=AXSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AXSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();