Exousia Bio (LMMY) EBITDA (2022 - 2026)
Exousia Bio's EBITDA was -$237,005 in fiscal Q3 2026 (quarter ended Feb 28, 2026), compared with $6,981 a year earlier.
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Analysis
Exousia Bio (LMMY) EBITDA (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Exousia Bio's EBITDA was -$244,157 through Feb 28, 2026; for FY2025 (ended May 31, 2025), it was -$24,318.
- In earlier fiscal years, EBITDA was -$11,543 in FY2024, -$41,721 in FY2023 and -$726.00 in FY2022.
- The fiscal Q3 2026 figure marks the lowest quarterly EBITDA in data going back to fiscal Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | -237,005.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | -237,005.00 |
| May 31, 2025 | -24,788.00 |
| Feb 28, 2025 | 6,981.00 |
| Nov 30, 2024 | 10,655.00 |
| Aug 31, 2024 | -668.00 |
| May 31, 2024 | -2,014.00 |
| Feb 29, 2024 | -5,021.00 |
| Nov 30, 2023 | -3,774.00 |
| Aug 31, 2023 | -8,487.00 |
| May 31, 2023 | -23,100.00 |
| Feb 28, 2023 | -4,594.00 |
| Nov 30, 2022 | -4,731.00 |
| Aug 31, 2022 | -9,296.00 |
API Access
Exousia Bio EBITDA 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=ebitda&ticker=LMMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();