Exousia Bio (LMMY) Intangibles (2022 - 2024)
Exousia Bio (LMMY) reported Intangibles of $4,703 for fiscal Q2 2025 (quarter ended Nov 30, 2024), down 67.3% from $14,370 a year earlier and down 33.9% from the prior quarter.
Exousia Bio (LMMY) Intangibles (2022 - 2024) Analysis & Trends
At the end of FY2024 (ended May 31, 2024), Exousia Bio posted Intangibles of $9,537, down 50.3% from FY2023.
- By fiscal year, Intangibles came in at $19,203 in FY2023 (-33.5%) and $28,870 in FY2022.
- The fiscal Q2 2025 figure ranks as the lowest quarterly Intangibles in data going back to fiscal Q4 2022.
- Year over year, Intangibles has now declined in each of the last four quarters, with an average decline of 50.7% over the last five quarters.
- Per Business Quant data, the three fiscal quarters before Q2 2025 came in at $7,120 (Q1 2025), $9,537 (Q4 2024) and $11,953 (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 55.65 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | - |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 11.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 765.80 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 27.60 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 850.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 1.67 Bn |
| 10 | Exousia Bio | 335,295.33 | 335,295.33 | -62,108.00 | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2024 | 4,703.00 |
| Aug 31, 2024 | 7,120.00 |
| May 31, 2024 | 9,537.00 |
| Feb 29, 2024 | 11,953.00 |
| Nov 30, 2023 | 14,370.00 |
| Aug 31, 2023 | 16,787.00 |
| May 31, 2023 | 19,203.00 |
| Feb 28, 2023 | 21,620.00 |
| May 31, 2022 | 28,870.00 |
Exousia Bio Intangibles 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=intangibles&ticker=LMMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();