Exousia Bio (LMMY) Net Cash Flow (2022 - 2025)
Exousia Bio (LMMY) reported Net Cash Flow of -$1.00 for fiscal Q2 2026 (quarter ended Nov 30, 2025).
Powered by 
Analysis
Exousia Bio (LMMY) Net Cash Flow (2022 - 2025) Analysis & Trends
For FY2025 (ended May 31, 2025), Exousia Bio posted Net Cash Flow of -$1,028.
- By fiscal year, Net Cash Flow came in at -$6,827 in FY2024, -$2,252 in FY2023 and $10,107 in FY2022.
- The fiscal Q2 2026 figure ranks as the highest quarterly Net Cash Flow since fiscal Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | -84.14 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 74.21 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | -108.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | -84.09 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 42.33 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | -16.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | -37.41 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | -49.00 Mn |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | -1.00 |
| May 31, 2025 | -1,028.00 |
| May 31, 2024 | 2.00 |
| Feb 29, 2024 | -2.00 |
| Nov 30, 2023 | -290.00 |
| Aug 31, 2023 | -6,537.00 |
| May 31, 2023 | 3,691.00 |
| Feb 28, 2023 | 2,813.00 |
| Nov 30, 2022 | -435.00 |
| Aug 31, 2022 | -8,321.00 |
API Access
Exousia Bio Net Cash Flow 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=net-cash-flow&ticker=LMMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();