Exousia Bio (LMMY) Change in Accured Expenses (2023 - 2025)
Exousia Bio (LMMY) reported Change in Accured Expenses of $178,170 for fiscal Q2 2026 (quarter ended Nov 30, 2025), compared with $2,277 a year earlier.
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Analysis
Exousia Bio (LMMY) Change in Accured Expenses (2023 - 2025) Analysis & Trends
For FY2025 (ended May 31, 2025), Exousia Bio posted Change in Accured Expenses of -$1,211.
- By fiscal year, Change in Accured Expenses came in at $601.00 in FY2024 (-1.5%) and $610.00 in FY2023.
- The fiscal Q2 2026 figure ranks as the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 178,170.00 |
| Aug 31, 2025 | 3,564.00 |
| May 31, 2025 | -3,488.00 |
| Nov 30, 2024 | 2,277.00 |
| May 31, 2024 | -2,769.00 |
| Feb 29, 2024 | 1,911.00 |
| Nov 30, 2023 | 924.00 |
| Aug 31, 2023 | 535.00 |
| May 31, 2023 | 610.00 |
API Access
Exousia Bio Change in Accured Expenses 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=change-in-accured-expenses&ticker=LMMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();