Lakefront Biotherapeutics (LKFT) Enterprise Value (2013 - 2026)
Lakefront Biotherapeutics (LKFT) reported Enterprise Value of $1.98 billion for the quarter ended Jun 30, 2026, down 4.9% from $2.08 billion a year earlier but up 4.0% from the prior quarter.
Lakefront Biotherapeutics (LKFT) Enterprise Value (2013 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Lakefront Biotherapeutics posted Enterprise Value of $2.06 billion.
- Enterprise Value has a five-year compound annual growth rate of 29.1% (years ended Dec 2020 to Dec 2025).
- By year, Enterprise Value came in at -$1.78 billion in the year ended Dec 31, 2024, -$1.29 billion in the year ended Dec 31, 2023, -$1.39 billion in the year ended Dec 31, 2022 and -$1.95 billion in the year ended Dec 31, 2021.
- Five-year quarterly Enterprise Value spans a low of -$2.31 billion in the quarter ended Sep 30, 2021 and a high of $3.89 billion in the quarter ended Jun 30, 2022.
- Year over year, Enterprise Value gained in three of the last six quarters, with an average decline of 1.6%.
- The high point for year-over-year Enterprise Value in five years was the quarter ended Jun 30, 2025 (growth of 17.4%); the low point was the quarter ended Jun 30, 2024 (a decline of 36.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.9 billion (quarter ended Mar 31, 2026), $2.05 billion (quarter ended Dec 31, 2025) and $2.33 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Lakefront Biotherapeutics | 1.97 Bn | 1.97 Bn | 3.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.98 Bn |
| Mar 31, 2026 | 1.90 Bn |
| Dec 31, 2025 | 2.05 Bn |
| Sep 30, 2025 | 2.33 Bn |
| Jun 30, 2025 | 2.08 Bn |
| Mar 31, 2025 | -1.81 Bn |
| Dec 31, 2024 | 1.83 Bn |
| Sep 30, 2024 | 2.00 Bn |
| Jun 30, 2024 | 1.77 Bn |
| Mar 31, 2024 | -1.74 Bn |
| Dec 31, 2023 | 2.82 Bn |
| Sep 30, 2023 | 2.37 Bn |
| Jun 30, 2023 | 2.77 Bn |
| Mar 31, 2023 | -1.74 Bn |
| Dec 31, 2022 | 3.20 Bn |
| Sep 30, 2022 | 2.86 Bn |
| Jun 30, 2022 | 3.89 Bn |
| Mar 31, 2022 | -1.15 Bn |
| Dec 31, 2021 | 3.81 Bn |
| Sep 30, 2021 | -2.31 Bn |
Lakefront Biotherapeutics Enterprise Value 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=enterprise-value&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "LKFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();