Lakefront Biotherapeutics (LKFT) Non-cash Items (2016 - 2018)
Lakefront Biotherapeutics (LKFT) reported Non-cash Items of -$45.75 billion for the quarter ended Dec 31, 2025, compared with $102.33 billion a year earlier.
Lakefront Biotherapeutics (LKFT) Non-cash Items (2016 - 2018) Analysis & Trends
For the year ended Dec 31, 2025, Lakefront Biotherapeutics posted Non-cash Items of -$44.46 billion.
- By year, Non-cash Items came in at $103.68 billion in the year ended Dec 31, 2024, $17.49 million in the year ended Dec 31, 2023 (-67.8%), $54.28 million in the year ended Dec 31, 2022 (-25.4%) and $72.73 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 ranks as the lowest quarterly Non-cash Items in data going back to the quarter ended Mar 31, 2016.
- Per Business Quant data, the three quarters before the quarter ended Dec 31, 2025 came in at $18.35 million (quarter ended Sep 30, 2025), -$64.3 million (quarter ended Jun 30, 2025) and -$9.89 million (quarter ended Mar 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.62 Bn | 1,105.21 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.59 Bn | 536.12 Bn | 17.26 Bn |
| 3 | AbbVie | 501.69 Bn | 474.80 Bn | 12.70 Bn |
| 4 | Merck | 368.29 Bn | 322.67 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.79 Bn | 261.78 Bn | 11.24 Bn |
| 6 | Astrazeneca | 260.82 Bn | 234.50 Bn | 12.86 Bn |
| 7 | Amgen | 236.53 Bn | 191.93 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.14 Bn | 165.33 Bn | 6.22 Bn |
| 9 | Pfizer | 169.69 Bn | 116.33 Bn | 10.94 Bn |
| 10 | Lakefront Biotherapeutics | 2.01 Bn | 2.01 Bn | 3.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 6.63 Mn |
| Jun 30, 2017 | -18.36 Mn |
| Mar 31, 2017 | -7.90 Mn |
| Jun 30, 2016 | -3.49 Mn |
| Mar 31, 2016 | -16.77 Mn |
Lakefront Biotherapeutics Non-cash Items 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=non-cash-items&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();