Lakefront Biotherapeutics (LKFT) Payables (2013 - 2026)
Lakefront Biotherapeutics' Payables came in at $112.12 million for the quarter ended Mar 31, 2026, down 36.9% from $177.71 million a year earlier and down 8.0% from the prior quarter.
Lakefront Biotherapeutics (LKFT) Payables (2013 - 2026) Analysis & Trends
As of Dec 31, 2025, Lakefront Biotherapeutics' Payables was $118.23 million, up 10.5% from the prior year.
- Payables carries a five-year compound annual growth rate of -77.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Payables was $107.02 million in the year ended Dec 31, 2024 (-26.4%), $145.47 million in the year ended Dec 31, 2023 (-99.9%), $156.7 billion in the year ended Dec 31, 2022 (-3.8%) and $162.86 billion in the year ended Dec 31, 2021 (-18.7%).
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Payables since the quarter ended Dec 31, 2024.
- Year-over-year, Payables increased in two of the last six quarters, with an average decline of 7.9%.
- The fastest year-over-year change in Payables over five years came in the quarter ended Dec 31, 2025 (growth of 15.3%), and the weakest in the quarter ended Dec 31, 2023 (a decline of 99.9%).
- Business Quant data shows LKFT's Payables at $121.81 million (quarter ended Dec 31, 2025), $117.65 million (quarter ended Sep 30, 2025) and $150.75 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 6.11 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 20.92 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 33.30 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.96 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 4.26 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 22.89 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 2.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 674.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 7.03 Bn |
| 10 | Lakefront Biotherapeutics | 2.01 Bn | 2.01 Bn | 3.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 109.75 Mn |
| Dec 31, 2025 | 122.93 Mn |
| Sep 30, 2025 | 118.06 Mn |
| Jun 30, 2025 | 156.19 Mn |
| Mar 31, 2025 | 182.86 Mn |
| Dec 31, 2024 | 102.89 Mn |
| Sep 30, 2024 | 129.41 Mn |
| Mar 31, 2024 | 157.11 Mn |
| Dec 31, 2023 | 149.64 Mn |
| Sep 30, 2023 | 127.94 Mn |
| Mar 31, 2023 | 170.06 Mn |
| Dec 31, 2022 | 158.50 Mn |
| Mar 31, 2022 | 150.31 Mn |
| Dec 31, 2021 | 155.86 Mn |
| Jun 30, 2021 | 180.58 Mn |
| Dec 31, 2020 | 215.92 Mn |
| Jun 30, 2020 | 201.81 Mn |
| Mar 31, 2020 | 186.94 Mn |
| Dec 31, 2019 | 160.68 Mn |
| Sep 30, 2019 | 170.98 Mn |
Lakefront Biotherapeutics Payables 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=payables&ticker=LKFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();