Lakefront Biotherapeutics (LKFT) Operating Leases (2019 - 2026)
Lakefront Biotherapeutics (LKFT) reported Operating Leases of $5.68 million for the quarter ended Mar 31, 2026, down 30.7% from $8.19 million a year earlier and down 5.9% from the prior quarter.
Lakefront Biotherapeutics (LKFT) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Lakefront Biotherapeutics posted Operating Leases of $5.86 million, down 34.3% from the prior year.
- Operating Leases has a five-year compound annual growth rate of -25.9% (years ended Dec 2020 to Dec 2025).
- By year, Operating Leases came in at $8.92 million in the year ended Dec 31, 2024 (+67.7%), $5.32 million in the year ended Dec 31, 2023 (-65.6%), $15.48 million in the year ended Dec 31, 2022 (-33.4%) and $23.26 million in the year ended Dec 31, 2021 (-11.6%).
- The figure for the quarter ended Mar 31, 2026 ranks as the lowest quarterly Operating Leases since the quarter ended Mar 31, 2024.
- Year over year, Operating Leases has now declined in each of the last three quarters, with growth averaging 11.8% over the last six quarters.
- The high point for year-over-year Operating Leases in five years was the quarter ended Mar 31, 2025 (growth of 96.5%); the low point was the quarter ended Dec 31, 2023 (a decline of 64.5%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $6.04 million (quarter ended Dec 31, 2025), $6.74 million (quarter ended Sep 30, 2025) and $6.85 million (quarter ended Jun 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 |
|---|---|
| Mar 31, 2026 | 5.68 Mn |
| Dec 31, 2025 | 6.04 Mn |
| Sep 30, 2025 | 6.74 Mn |
| Jun 30, 2025 | 6.85 Mn |
| Mar 31, 2025 | 8.19 Mn |
| Dec 31, 2024 | 8.81 Mn |
| Sep 30, 2024 | 7.95 Mn |
| Mar 31, 2024 | 4.17 Mn |
| Dec 31, 2023 | 5.32 Mn |
| Sep 30, 2023 | 9.22 Mn |
| Mar 31, 2023 | 10.97 Mn |
| Dec 31, 2022 | 14.99 Mn |
| Mar 31, 2022 | 20.53 Mn |
| Dec 31, 2021 | 22.48 Mn |
| Jun 30, 2021 | 25.81 Mn |
| Dec 31, 2020 | 27.46 Mn |
| Jun 30, 2020 | 22.45 Mn |
| Mar 31, 2020 | 20.82 Mn |
| Dec 31, 2019 | 21.65 Mn |
| Sep 30, 2019 | 21.88 Mn |
Lakefront Biotherapeutics Operating Leases 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=operating-leases&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();