Axsome Therapeutics (AXSM) Total Non-Current Liabilities (2017 - 2026)
Axsome Therapeutics (AXSM) posted Total Non-Current Liabilities of $609.01 million for Q2 2026, up 25.0% from $487.06 million a year earlier and up 4.1% from the prior quarter.
Axsome Therapeutics (AXSM) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Axsome Therapeutics' Total Non-Current Liabilities came in at $523.97 million, up 24.8% from FY2024.
- Annual Total Non-Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 40.0% (FY2022 to FY2025).
- In prior years, Axsome Therapeutics' Total Non-Current Liabilities was $419.8 million in FY2024 (+29.6%), $323.96 million in FY2023 (+69.8%) and $190.82 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 13 quarters, with growth averaging 29.3% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 24.8% (Q4 2025) and 120.1% (Q2 2023) over the last five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $585.29 million (Q1 2026), $523.97 million (Q4 2025) and $505.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Axsome Therapeutics | 9.64 Bn | 8.37 Bn | 204.81 Mn | 609.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 609.01 Mn |
| Mar 31, 2026 | 585.29 Mn |
| Dec 31, 2025 | 523.97 Mn |
| Sep 30, 2025 | 505.65 Mn |
| Jun 30, 2025 | 487.06 Mn |
| Mar 31, 2025 | 452.88 Mn |
| Dec 31, 2024 | 419.80 Mn |
| Sep 30, 2024 | 385.58 Mn |
| Jun 30, 2024 | 375.75 Mn |
| Mar 31, 2024 | 331.69 Mn |
| Dec 31, 2023 | 323.96 Mn |
| Sep 30, 2023 | 299.80 Mn |
| Jun 30, 2023 | 299.33 Mn |
| Mar 31, 2023 | 248.27 Mn |
| Dec 31, 2022 | 190.82 Mn |
| Sep 30, 2022 | 154.20 Mn |
| Jun 30, 2022 | 136.03 Mn |
| Sep 30, 2018 | 15.28 Mn |
| Jun 30, 2018 | 14.60 Mn |
| Mar 31, 2018 | 15.24 Mn |
Axsome Therapeutics Total Non-Current 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-non-current-liabilities&ticker=AXSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=AXSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();