Greenwich LifeSciences (GLSI) Research & Development (2019 - 2026)
Greenwich LifeSciences' Research & Development was $5.21 million in Q1 2026, up 129.3% from $2.27 million a year earlier but down 37.0% from the prior quarter.
Greenwich LifeSciences (GLSI) Research & Development (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Greenwich LifeSciences' Research & Development was $20.16 million through Mar 31, 2026, up 29.6% year-over-year; for FY2025, it came in at $17.22 million, up 11.2% from FY2024.
- Research & Development has now increased for five consecutive years, with a five-year compound annual growth rate of 74.7% (FY2020 to FY2025).
- In earlier years, Research & Development was $15.48 million in FY2024 (+101.1%), $7.7 million in FY2023 (+18.9%), $6.48 million in FY2022 (+81.9%) and $3.56 million in FY2021 (+236.6%).
- Quarterly Research & Development has moved between $556,534 (Q2 2021) and $8.69 million (Q4 2024) over five years.
- Compared with a year earlier, Research & Development was higher in seven of the last eight quarters, with growth averaging 70.5%.
- The best year-over-year quarter for Research & Development over five years was Q1 2022 (growth of 489.0%); the worst was Q4 2023 (a decline of 5.1%).
- Per Business Quant data, GLSI's Research & Development in the three quarters before Q1 2026 was $8.27 million (Q4 2025), $3.27 million (Q3 2025) and $3.42 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.62 Bn | 1,103.20 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 616.94 Bn | 535.47 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 501.32 Bn | 474.43 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 367.44 Bn | 321.82 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.20 Bn | 262.19 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.78 Bn | 235.47 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 235.70 Bn | 191.10 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.88 Bn | 165.07 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 169.72 Bn | 116.36 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Greenwich LifeSciences | 238.74 Mn | 215.12 Mn | - | 5.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.21 Mn |
| Dec 31, 2025 | 8.27 Mn |
| Sep 30, 2025 | 3.27 Mn |
| Jun 30, 2025 | 3.42 Mn |
| Mar 31, 2025 | 2.27 Mn |
| Dec 31, 2024 | 8.69 Mn |
| Sep 30, 2024 | 2.29 Mn |
| Jun 30, 2024 | 2.31 Mn |
| Mar 31, 2024 | 2.19 Mn |
| Dec 31, 2023 | 2.33 Mn |
| Sep 30, 2023 | 2.16 Mn |
| Jun 30, 2023 | 1.38 Mn |
| Mar 31, 2023 | 1.83 Mn |
| Dec 31, 2022 | 2.46 Mn |
| Sep 30, 2022 | 1.72 Mn |
| Jun 30, 2022 | 633,250.00 |
| Mar 31, 2022 | 1.66 Mn |
| Dec 31, 2021 | 2.06 Mn |
| Sep 30, 2021 | 657,096.00 |
| Jun 30, 2021 | 556,534.00 |
Greenwich LifeSciences 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=GLSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "GLSI", "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=GLSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();