Axsome Therapeutics (AXSM) Return on Sales [ROS] (2022 - 2026)
Axsome Therapeutics (AXSM) posted Return on Sales [ROS] of -22.73% for Q2 2026, up 1.73 percentage points from -24.47% a year earlier and up 10.40 percentage points from the prior quarter.
Axsome Therapeutics (AXSM) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Axsome Therapeutics was -23.96%, up 22.29 percentage points year-over-year; for FY2025, it came in at -26.12%, up 46.62 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a three-year change of +333.21 percentage points (FY2022 to FY2025).
- In prior years, Axsome Therapeutics' Return on Sales [ROS] was -72.74% in FY2024 (+12.93 pp), -85.67% in FY2023 (+273.66 pp) and -359.33% in FY2022.
- Quarterly Return on Sales [ROS] has run from a low of -444.23% in Q2 2022 to a high of -6.74% in Q1 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last nine quarters, with an average year-over-year change of +40.94 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 304.92 percentage points; the weakest was Q1 2024, with a drop of 82.96 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -33.14% (Q1 2026), -13.75% (Q4 2025) and -26.97% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Axsome Therapeutics | 9.37 Bn | 8.10 Bn | 204.81 Mn | -22.73% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.73% |
| Mar 31, 2026 | -33.14% |
| Dec 31, 2025 | -13.75% |
| Sep 30, 2025 | -26.97% |
| Jun 30, 2025 | -24.47% |
| Mar 31, 2025 | -46.91% |
| Dec 31, 2024 | -61.14% |
| Sep 30, 2024 | -59.78% |
| Jun 30, 2024 | -89.54% |
| Mar 31, 2024 | -89.70% |
| Dec 31, 2023 | -137.39% |
| Sep 30, 2023 | -107.49% |
| Jun 30, 2023 | -139.31% |
| Mar 31, 2023 | -6.74% |
| Dec 31, 2022 | -245.86% |
| Sep 30, 2022 | -251.76% |
| Jun 30, 2022 | -444.23% |
Axsome Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AXSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AXSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();