Lakefront Biotherapeutics (LKFT) Receivables (2013 - 2026)
Lakefront Biotherapeutics (LKFT) recorded Receivables of $25.45 million in the quarter ended Mar 31, 2026, down 52.7% from $53.8 million a year earlier but up 5.6% from the prior quarter.
Lakefront Biotherapeutics (LKFT) Receivables (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Lakefront Biotherapeutics reported Receivables of $23.39 million, down 54.5% from the prior year.
- Annual Receivables has a five-year compound annual growth rate of -83.1% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $51.39 million in the year ended Dec 31, 2024 (+67.9%), $30.61 million in the year ended Dec 31, 2023 (-99.9%), $42.61 billion in the year ended Dec 31, 2022 (-67.7%) and $131.76 billion in the year ended Dec 31, 2021 (-22.2%).
- Quarterly Receivables has ranged from $24.1 million in the quarter ended Dec 31, 2025 to $127.37 billion in the quarter ended Dec 31, 2021 over the past five years.
- On a year-over-year basis, Receivables rose in two of the last six quarters, with an average decline of 7.5%.
- Peak year-over-year performance for Receivables in the last five years was growth of 207.4% in the quarter ended Jun 30, 2021, against a decline of 99.9% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.1 million (quarter ended Dec 31, 2025), $52.99 million (quarter ended Sep 30, 2025) and $62.82 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | Lakefront Biotherapeutics | 1.97 Bn | 1.97 Bn | 3.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 25.45 Mn |
| Dec 31, 2025 | 24.10 Mn |
| Sep 30, 2025 | 52.99 Mn |
| Jun 30, 2025 | 62.82 Mn |
| Mar 31, 2025 | 53.80 Mn |
| Dec 31, 2024 | 50.73 Mn |
| Sep 30, 2024 | 49.89 Mn |
| Mar 31, 2024 | 59.33 Mn |
| Dec 31, 2023 | 30.61 Mn |
| Sep 30, 2023 | 51.07 Mn |
| Mar 31, 2023 | 44.48 Mn |
| Dec 31, 2022 | 41.25 Bn |
| Mar 31, 2022 | 69.24 Mn |
| Dec 31, 2021 | 127.37 Bn |
| Jun 30, 2021 | 106.14 Mn |
| Dec 31, 2020 | 176.96 Bn |
| Jun 30, 2020 | 34.53 Mn |
| Mar 31, 2020 | 29.91 Mn |
| Dec 31, 2019 | 59.78 Mn |
| Sep 30, 2019 | 6.55 Bn |
Lakefront Biotherapeutics Receivables 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&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();