Lakefront Biotherapeutics (LKFT) Prepaid Assets (2013 - 2026)
Lakefront Biotherapeutics (LKFT) reported Prepaid Assets of $4.77 million for the quarter ended Mar 31, 2026, down 85.5% from $32.94 million a year earlier and down 41.5% from the prior quarter.
Lakefront Biotherapeutics (LKFT) Prepaid Assets (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Lakefront Biotherapeutics posted Prepaid Assets of $7.91 million, down 76.5% from the prior year.
- Prepaid Assets has a five-year compound annual growth rate of -77.5% (years ended Dec 2020 to Dec 2025).
- By year, Prepaid Assets came in at $33.61 million in the year ended Dec 31, 2024 (+106.3%), $16.29 million in the year ended Dec 31, 2023 (-99.9%), $24.56 billion in the year ended Dec 31, 2022 (+108.7%) and $11.77 billion in the year ended Dec 31, 2021 (-13.5%).
- The figure for the quarter ended Mar 31, 2026 ranks as the lowest quarterly Prepaid Assets in data going back to the quarter ended Dec 31, 2013.
- Year over year, Prepaid Assets has now declined in each of the last three quarters, with growth averaging 8.9% over the last six quarters.
- The high point for year-over-year Prepaid Assets in five years was the quarter ended Mar 31, 2023 (growth of 156.5%); the low point was the quarter ended Dec 31, 2023 (a decline of 99.9%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $8.15 million (quarter ended Dec 31, 2025), $13.2 million (quarter ended Sep 30, 2025) and $23.04 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Lakefront Biotherapeutics | 1.95 Bn | 1.95 Bn | 3.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.77 Mn |
| Dec 31, 2025 | 8.15 Mn |
| Sep 30, 2025 | 13.20 Mn |
| Jun 30, 2025 | 23.04 Mn |
| Mar 31, 2025 | 32.94 Mn |
| Dec 31, 2024 | 33.18 Mn |
| Sep 30, 2024 | 29.63 Mn |
| Mar 31, 2024 | 17.07 Mn |
| Dec 31, 2023 | 16.29 Mn |
| Sep 30, 2023 | 17.13 Mn |
| Mar 31, 2023 | 29.94 Mn |
| Dec 31, 2022 | 23.78 Bn |
| Mar 31, 2022 | 11.68 Mn |
| Dec 31, 2021 | 11.38 Bn |
| Jun 30, 2021 | 11.18 Mn |
| Dec 31, 2020 | 14.21 Bn |
| Jun 30, 2020 | 11.37 Mn |
| Mar 31, 2020 | 9.61 Mn |
| Dec 31, 2019 | 10.11 Mn |
| Sep 30, 2019 | 9.83 Mn |
Lakefront Biotherapeutics Prepaid Assets 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=prepaid-assets&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();