Lakefront Biotherapeutics (LKFT) Finished Goods (2020 - 2023)
Lakefront Biotherapeutics (LKFT) reported Finished Goods of $6.58 million for the quarter ended Dec 31, 2023, down 20.0% from $8.23 million a year earlier.
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Analysis
Lakefront Biotherapeutics (LKFT) Finished Goods (2020 - 2023) Analysis & Trends
Dating back to the quarter ended Dec 31, 2020, Lakefront Biotherapeutics' Finished Goods record includes 4 quarters.
- Finished Goods has a three-year compound annual growth rate of 443.0% (years ended Dec 2020 to Dec 2023).
- By year, Finished Goods came in at $8.5 million in the year ended Dec 31, 2022 (+48.3%), $5.73 million in the year ended Dec 31, 2021 and $41,104 in the year ended Dec 31, 2020.
- The figure for the quarter ended Dec 31, 2023 ranks as the lowest quarterly Finished Goods since the quarter ended Dec 31, 2021.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 6.58 Mn |
| Dec 31, 2022 | 8.23 Mn |
| Dec 31, 2021 | 5.54 Mn |
| Dec 31, 2020 | 42,922.43 |
API Access
Lakefront Biotherapeutics Finished Goods 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=finished-goods&ticker=LKFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();