Exousia Bio (LMMY) EPS (Diluted) (2022 - 2026)
Exousia Bio's EPS (Diluted) came in at $0.00 for fiscal Q3 2026 (quarter ended Feb 28, 2026), compared with $0.01 a year earlier.
Exousia Bio (LMMY) EPS (Diluted) (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Feb 28, 2026, Exousia Bio reported EPS (Diluted) of -$0.01; for FY2025 (ended May 31, 2025), it came in at $0.01.
- Going back by fiscal year, EPS (Diluted) was $0.00 in FY2024, -$0.01 in FY2023 and $0.00 in FY2022.
- The five-year range for quarterly EPS (Diluted) is $0.00 (fiscal Q4 2023) to $0.01 (fiscal Q3 2025).
- Business Quant data shows LMMY's EPS (Diluted) at $0.00 (Q2 2026), $0.00 (Q1 2026) and $0.00 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.66 |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 0.03 |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 0.26 |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 1.03 |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | -2.02 |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 0.66 |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 0.85 |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 0.14 |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | 0.00 |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 0.00 |
| Nov 30, 2025 | 0.00 |
| Aug 31, 2025 | 0.00 |
| May 31, 2025 | 0.00 |
| Feb 28, 2025 | 0.01 |
| Nov 30, 2024 | 0.01 |
| Aug 31, 2024 | 0.00 |
| May 31, 2024 | 0.00 |
| Feb 29, 2024 | 0.00 |
| Nov 30, 2023 | 0.00 |
| Aug 31, 2023 | 0.00 |
| May 31, 2023 | 0.00 |
| Feb 28, 2023 | 0.00 |
| Nov 30, 2022 | 0.00 |
| Aug 31, 2022 | 0.00 |
Exousia Bio EPS (Diluted) 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=eps-diluted&ticker=LMMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();