Lakefront Biotherapeutics (LKFT) Change in Inventory (2016 - 2018)
Lakefront Biotherapeutics' Change in Inventory came in at $32.6 million for the year ended Dec 31, 2025, up 30.7% from $24.94 million a year earlier.
Lakefront Biotherapeutics (LKFT) Change in Inventory (2016 - 2018) Analysis & Trends
Going back to the year ended Dec 31, 2013, Lakefront Biotherapeutics' Change in Inventory data covers 13 years.
- The figure for the year ended Dec 31, 2025 represents the highest annual Change in Inventory in data going back to the year ended Dec 31, 2013.
- Per Business Quant, earlier years put Change in Inventory at $24.94 million in the year ended Dec 31, 2024, -$25.9 million in the year ended Dec 31, 2023, -$36.45 million in the year ended Dec 31, 2022 and -$25.05 million in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 571.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 143.00 Mn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 31.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 145.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Lakefront Biotherapeutics | 2.01 Bn | 2.01 Bn | 3.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 4,565.59 |
| Sep 30, 2018 | -15,120.68 |
| Jun 30, 2018 | 31,029.55 |
| Dec 31, 2017 | -28,258.38 |
| Sep 30, 2017 | -24,676.33 |
| Jun 30, 2017 | 46,181.07 |
| Mar 31, 2017 | -25,569.77 |
| Jun 30, 2016 | 29,376.75 |
| Mar 31, 2016 | -25,369.28 |
Lakefront Biotherapeutics Change in Inventory 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=change-in-inventory&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();