Lakefront Biotherapeutics (LKFT) Receivables - Net (2013 - 2026)
Lakefront Biotherapeutics (LKFT) posted Receivables - Net of $25.45 million for 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 - Net (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Lakefront Biotherapeutics' Receivables - Net came in at $23.39 million, down 54.5% from the prior year.
- Annual Receivables - Net shows a five-year compound annual growth rate of -83.1% (years ended Dec 2020 to Dec 2025).
- In prior years, Lakefront Biotherapeutics' Receivables - Net was $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 - Net has run from a low of $24.1 million in the quarter ended Dec 31, 2025 to a high of $127.37 billion in the quarter ended Dec 31, 2021 over five years.
- On a year-over-year basis, Receivables - Net increased in two of the last six quarters, with an average decline of 7.5%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was the quarter ended Jun 30, 2021, with growth of 207.4%; the weakest was the quarter ended Dec 31, 2023, with a decline of 99.9%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $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) |
|---|---|---|---|---|
| 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
| Date | Value |
|---|---|
| Mar 31, 2026 | 24.91 Mn |
| Dec 31, 2025 | 24.32 Mn |
| Sep 30, 2025 | 53.18 Mn |
| Jun 30, 2025 | 65.09 Mn |
| Mar 31, 2025 | 55.36 Mn |
| Dec 31, 2024 | 49.40 Mn |
| Sep 30, 2024 | 50.74 Mn |
| Mar 31, 2024 | 58.95 Mn |
| Dec 31, 2023 | 31.49 Mn |
| Sep 30, 2023 | 49.56 Mn |
| Mar 31, 2023 | 45.19 Mn |
| Dec 31, 2022 | 43.10 Mn |
| Mar 31, 2022 | 68.86 Mn |
| Dec 31, 2021 | 126.09 Mn |
| Jun 30, 2021 | 104.90 Mn |
| Dec 31, 2020 | 182.55 Mn |
| Jun 30, 2020 | 35.26 Mn |
| Mar 31, 2020 | 29.89 Mn |
| Dec 31, 2019 | 60.50 Mn |
| Sep 30, 2019 | 35.72 Mn |
Lakefront Biotherapeutics Receivables - Net 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-net&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();