Exousia Bio (LMMY) Total Non-Current Liabilities (2022 - 2024)
Exousia Bio (LMMY) recorded Total Non-Current Liabilities of $69,595 in fiscal Q1 2025 (quarter ended Aug 31, 2024), up 8.9% from $63,936 a year earlier and up 2.1% from the prior quarter.
Exousia Bio (LMMY) Total Non-Current Liabilities (2022 - 2024) Analysis & Trends
At the end of FY2024 (ended May 31, 2024), Exousia Bio reported Total Non-Current Liabilities of $68,179, up 9.0% from FY2023.
- Across earlier fiscal years, Total Non-Current Liabilities came in at $62,522 in FY2023 (+14.9%) and $54,433 in FY2022.
- The fiscal Q1 2025 figure is the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 10.5% over the last four quarters.
- Per Business Quant, the preceding three fiscal quarters came in at $68,179 (Q4 2024), $66,765 (Q3 2024) and $65,350 (Q2 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | - |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2024 | 69,595.00 |
| May 31, 2024 | 68,179.00 |
| Feb 29, 2024 | 66,765.00 |
| Nov 30, 2023 | 65,350.00 |
| Aug 31, 2023 | 63,936.00 |
| May 31, 2023 | 62,522.00 |
| Feb 28, 2023 | 61,111.00 |
| May 31, 2022 | 54,433.00 |
Exousia Bio Total Non-Current 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-non-current-liabilities&ticker=LMMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();