Lakefront Biotherapeutics (LKFT) Research & Development (2016 - 2026)
Lakefront Biotherapeutics (LKFT) recorded Research & Development of -$36.25 million in the quarter ended Mar 31, 2026, compared with -$192.23 million a year earlier.
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Analysis
Lakefront Biotherapeutics (LKFT) Research & Development (2016 - 2026) Analysis & Trends
On a TTM basis, Lakefront Biotherapeutics' Research & Development came in at -$534.62 billion as of Mar 31, 2026; for the year ended Dec 31, 2025, it was -$519.06 billion.
- Across earlier years, Research & Development came in at -$363.08 billion in the year ended Dec 31, 2024, -$259.62 billion in the year ended Dec 31, 2023, -$284.35 billion in the year ended Dec 31, 2022 and -$379.28 million in the year ended Dec 31, 2021.
- Quarterly Research & Development has ranged from -$534.38 billion in the quarter ended Dec 31, 2025 to $192.7 million in the quarter ended Jun 30, 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$534.38 billion (quarter ended Dec 31, 2025), -$396.77 million (quarter ended Sep 30, 2025) and $192.7 million (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Lakefront Biotherapeutics | 2.01 Bn | 2.01 Bn | 3.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -36.25 Mn |
| Dec 31, 2025 | 944.42 Mn |
| Sep 30, 2025 | -396.77 Mn |
| Jun 30, 2025 | 192.70 Mn |
| Mar 31, 2025 | -192.23 Mn |
| Dec 31, 2024 | 613.08 Mn |
| Sep 30, 2024 | -249.29 Mn |
| Jun 30, 2024 | 64.97 Mn |
| Mar 31, 2024 | -77.80 Mn |
| Dec 31, 2023 | 439.53 Mn |
| Mar 31, 2023 | -56.41 Mn |
| Dec 31, 2022 | 646.70 Mn |
| Mar 31, 2022 | -112.15 Mn |
| Jun 30, 2021 | 167.23 Mn |
| Mar 31, 2021 | -156.76 Mn |
| Jun 30, 2020 | 162.41 Mn |
| Mar 31, 2020 | -128.90 Mn |
| Dec 31, 2019 | 795.12 Mn |
| Sep 30, 2019 | -134.28 Mn |
| Jun 30, 2019 | 106.04 Mn |
API Access
Lakefront Biotherapeutics Research & Development 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=research-and-development&ticker=LKFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();