Exousia Bio (LMMY) Return on Sales [ROS] (2023 - 2025)
Exousia Bio (LMMY) reported Return on Sales [ROS] of -502.45% for fiscal Q4 2025 (quarter ended May 31, 2025), down 350.75 percentage points from -151.71% a year earlier and down 554.87 percentage points from the prior quarter.
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Analysis
Exousia Bio (LMMY) Return on Sales [ROS] (2023 - 2025) Analysis & Trends
For FY2025 (ended May 31, 2025), Exousia Bio posted Return on Sales [ROS] of -942.51%, down 714.31 percentage points from FY2024.
- By fiscal year, Return on Sales [ROS] came in at -228.20% in FY2024.
- Per Business Quant data, the three fiscal quarters before Q4 2025 came in at 52.41% (Q3 2025), -103.25% (Q2 2025) and -115.79% (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2025 | -502.45% |
| Feb 28, 2025 | 52.41% |
| Nov 30, 2024 | -103.25% |
| Aug 31, 2024 | -115.79% |
| May 31, 2024 | -151.71% |
| Feb 29, 2024 | -224.39% |
| Nov 30, 2023 | -192.21% |
API Access
Exousia Bio 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=LMMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LMMY", "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=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();