Exousia Bio (LMMY) Total Liabilities (2022 - 2026)
Exousia Bio's Total Liabilities came in at $261,023 for fiscal Q3 2026 (quarter ended Feb 28, 2026), compared with -$24,854 a year earlier and unchanged from the prior quarter.
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Analysis
Exousia Bio (LMMY) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2024 (ended May 31, 2024), Exousia Bio's Total Liabilities was $82,348, up 24.5% from FY2023.
- Going back by fiscal year, Total Liabilities was $66,132 in FY2023 (+21.5%) and $54,433 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | 261,023.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2026 | 261,023.00 |
| Nov 30, 2025 | 261,023.00 |
| Aug 31, 2025 | 35,314.00 |
| Feb 28, 2025 | -24,854.00 |
| Aug 31, 2024 | 86,763.00 |
| May 31, 2024 | 82,348.00 |
| Feb 29, 2024 | 76,584.00 |
| Nov 30, 2023 | 71,564.00 |
| Aug 31, 2023 | 68,081.00 |
| May 31, 2023 | 66,132.00 |
| Feb 28, 2023 | 64,111.00 |
| May 31, 2022 | 54,433.00 |
API Access
Exousia Bio Total Liabilities 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=total-liabilities&ticker=LMMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();