Lakefront Biotherapeutics (LKFT) Selling, General & Administrative (2016 - 2026)
Lakefront Biotherapeutics' Selling, General & Administrative came in at -$38.32 million for the quarter ended Mar 31, 2026, compared with -$41.68 million a year earlier.
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Analysis
Lakefront Biotherapeutics (LKFT) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Lakefront Biotherapeutics reported Selling, General & Administrative of -$171.5 billion; for the year ended Dec 31, 2025, it was -$166.46 billion.
- Going back by year, Selling, General & Administrative was -$126.9 billion in the year ended Dec 31, 2024, -$138.03 million in the year ended Dec 31, 2023, -$142.45 million in the year ended Dec 31, 2022 and -$151.17 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Selling, General & Administrative is -$171.38 billion (the quarter ended Dec 31, 2025) to $44.82 million (the quarter ended Jun 30, 2025).
- Business Quant data shows LKFT's Selling, General & Administrative at -$171.38 billion (quarter ended Dec 31, 2025), -$122.26 million (quarter ended Sep 30, 2025) and $44.82 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Lakefront Biotherapeutics | 1.94 Bn | 1.94 Bn | 3.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -38.32 Mn |
| Dec 31, 2025 | -171.38 Bn |
| Sep 30, 2025 | -122.26 Mn |
| Jun 30, 2025 | 44.82 Mn |
| Mar 31, 2025 | -41.68 Mn |
| Dec 31, 2024 | -125.20 Bn |
| Sep 30, 2024 | -90.01 Mn |
| Jun 30, 2024 | 28.90 Mn |
| Mar 31, 2024 | -30.29 Mn |
| Dec 31, 2023 | -48.13 Mn |
| Mar 31, 2023 | -27.94 Mn |
| Dec 31, 2022 | -38.55 Mn |
| Mar 31, 2022 | -37.44 Mn |
| Jun 30, 2021 | -55.92 Mn |
| Mar 31, 2021 | -36.70 Mn |
| Jun 30, 2020 | -41.07 Mn |
| Mar 31, 2020 | -27.49 Mn |
| Dec 31, 2019 | -23.12 Mn |
| Sep 30, 2019 | -31.79 Mn |
| Jun 30, 2019 | -15.41 Mn |
API Access
Lakefront Biotherapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=LKFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();