Exousia Bio (LMMY) Debt Ratio (2022 - 2024)
Exousia Bio's (LMMY) Debt Ratio stood at 1.04 in fiscal Q1 2025 (quarter ended Aug 31, 2024), down 4.0% from 1.08 a year earlier and down 1.8% from the prior quarter.
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Analysis
Exousia Bio (LMMY) Debt Ratio (2022 - 2024) Analysis & Trends
For FY2024 (ended May 31, 2024), Exousia Bio's Debt Ratio came in at 1.06, up 34.9% from FY2023.
- Across earlier fiscal years, Debt Ratio came in at 0.78 in FY2023 (+45.8%) and 0.54 in FY2022.
- The fiscal Q1 2025 figure is the lowest quarterly Debt Ratio since fiscal Q4 2023.
- On a year-over-year basis, Debt Ratio rose in three of the last four quarters, with growth averaging 28.5%.
- Per Business Quant, the preceding three fiscal quarters came in at 1.06 (Q4 2024), 1.08 (Q3 2024) and 1.08 (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 72.83 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 0.00 |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 0.17 |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 0.10 |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2024 | 1.04 |
| May 31, 2024 | 1.06 |
| Feb 29, 2024 | 1.08 |
| Nov 30, 2023 | 1.08 |
| Aug 31, 2023 | 1.08 |
| May 31, 2023 | 0.78 |
| Feb 28, 2023 | 0.78 |
| May 31, 2022 | 0.54 |
API Access
Exousia Bio Debt Ratio 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=debt-ratio&ticker=LMMY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();