Lantern Pharma (LTRN) Research & Development (2020 - 2026)
Lantern Pharma (LTRN) posted Research & Development of $1.79 million for Q2 2026, down 41.6% from $3.07 million a year earlier but up 3.8% from the prior quarter.
Lantern Pharma (LTRN) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Lantern Pharma was $8.7 million, down 39.3% year-over-year; for FY2025, it came in at $11.51 million, down 28.6% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of 38.7% (FY2020 to FY2025).
- In prior years, Lantern Pharma's Research & Development was $16.13 million in FY2024 (+35.6%), $11.89 million in FY2023 (+38.3%), $8.6 million in FY2022 (+13.6%) and $7.57 million in FY2021 (+237.5%).
- Quarterly Research & Development has run from a low of $702,296 in Q3 2022 to a high of $4.27 million in Q4 2024 over five years.
- On a year-over-year basis, Research & Development has declined in each of the last six quarters, with an average decline of 14.4% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q3 2021, with growth of 393.4%; the weakest was Q3 2022, with a decline of 76.3%.
- According to Business Quant data, Research & Development for the three prior quarters was $1.72 million (Q1 2026), $2.74 million (Q4 2025) and $2.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Lantern Pharma | 7.95 Mn | -28.21 Mn | - | 1.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.79 Mn |
| Mar 31, 2026 | 1.72 Mn |
| Dec 31, 2025 | 2.74 Mn |
| Sep 30, 2025 | 2.44 Mn |
| Jun 30, 2025 | 3.07 Mn |
| Mar 31, 2025 | 3.26 Mn |
| Dec 31, 2024 | 4.27 Mn |
| Sep 30, 2024 | 3.72 Mn |
| Jun 30, 2024 | 3.89 Mn |
| Mar 31, 2024 | 4.25 Mn |
| Dec 31, 2023 | 3.57 Mn |
| Sep 30, 2023 | 2.21 Mn |
| Jun 30, 2023 | 3.56 Mn |
| Mar 31, 2023 | 2.55 Mn |
| Dec 31, 2022 | 2.25 Mn |
| Sep 30, 2022 | 702,296.00 |
| Jun 30, 2022 | 2.99 Mn |
| Mar 31, 2022 | 2.66 Mn |
| Dec 31, 2021 | 2.16 Mn |
| Sep 30, 2021 | 2.96 Mn |
Lantern Pharma 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=LTRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "LTRN", "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=LTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();