Lakefront Biotherapeutics (LKFT) Receivables - Other (2013 - 2026)
Lakefront Biotherapeutics' Receivables - Other was $6.51 billion in the quarter ended Sep 30, 2019, up 276.8% from $1.73 billion a year earlier.
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Analysis
Lakefront Biotherapeutics (LKFT) Receivables - Other (2013 - 2026) Analysis & Trends
As of Dec 31, 2018, Receivables - Other at Lakefront Biotherapeutics came in at $1.7 billion.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 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 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 131.30 Mn |
| Dec 31, 2025 | 148.79 Mn |
| Sep 30, 2025 | 137.25 Mn |
| Jun 30, 2025 | 135.25 Mn |
| Mar 31, 2025 | 122.52 Mn |
| Dec 31, 2024 | 138.12 Mn |
| Sep 30, 2024 | 149.01 Mn |
| Mar 31, 2024 | 156.28 Mn |
| Dec 31, 2023 | 156.34 Mn |
| Sep 30, 2023 | 145.89 Mn |
| Mar 31, 2023 | 135.53 Mn |
| Dec 31, 2022 | 127.87 Mn |
| Mar 31, 2022 | 148.06 Mn |
| Dec 31, 2021 | 144.04 Mn |
| Jun 30, 2021 | 139.58 Mn |
| Dec 31, 2020 | 137.30 Mn |
| Jun 30, 2020 | 115.61 Mn |
| Mar 31, 2020 | 102.76 Mn |
| Dec 31, 2019 | 104.64 Mn |
| Sep 30, 2019 | 98.45 Mn |
API Access
Lakefront Biotherapeutics Receivables - Other 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=receivables-other&ticker=LKFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();