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 | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Lakefront Biotherapeutics | 2.20 Bn | 2.20 Bn | 3.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 38.32 Mn |
| Dec 31, 2025 | 49.72 Mn |
| Sep 30, 2025 | 122.26 Mn |
| Jun 30, 2025 | -44.82 Mn |
| Mar 31, 2025 | 41.68 Mn |
| Dec 31, 2024 | 36.58 Mn |
| 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();