Exousia Bio (LMMY) Goodwill & Intangibles (2022 - 2024)
Exousia Bio's Goodwill & Intangibles was $4,703 in 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) Goodwill & Intangibles (2022 - 2024) Analysis & Trends
At the end of FY2024 (ended May 31, 2024), Goodwill & Intangibles at Exousia Bio came in at $9,537, down 50.3% from FY2023.
- In earlier fiscal years, Goodwill & Intangibles was $19,203 in FY2023 (-33.5%) and $28,870 in FY2022.
- The fiscal Q2 2025 figure marks the lowest quarterly Goodwill & Intangibles in data going back to fiscal Q4 2022.
- Compared with a year earlier, Goodwill & Intangibles has declined for four straight quarters, with an average decline of 50.7% over the last five quarters.
- Per Business Quant data, LMMY's Goodwill & Intangibles in the three fiscal quarters before Q2 2025 was $7,120 (Q1 2025), $9,537 (Q4 2024) and $11,953 (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 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 Goodwill & 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=goodwill-and-intangibles&ticker=LMMY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=LMMY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();