Acurx Pharmaceuticals (ACXP) Research & Development (2020 - 2026)
Acurx Pharmaceuticals' Research & Development was $1.07 million in Q2 2026, up 104.4% from $524,210 a year earlier and up 213.8% from the prior quarter.
Acurx Pharmaceuticals (ACXP) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Acurx Pharmaceuticals' Research & Development was $2.12 million through Jun 30, 2026, down 32.5% year-over-year; for FY2025, it came in at $1.83 million, down 66.1% from FY2024.
- Research & Development shows a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- In earlier years, Research & Development was $5.4 million in FY2024 (-10.6%), $6.04 million in FY2023 (+27.1%), $4.75 million in FY2022 (+134.2%) and $2.03 million in FY2021 (-7.8%).
- The Q2 2026 figure marks the highest quarterly Research & Development since Q3 2024.
- Compared with a year earlier, Research & Development was higher in 1 of the last eight quarters, with an average decline of 33.8%.
- The best year-over-year quarter for Research & Development over five years was Q2 2022 (growth of 858.9%); the worst was Q2 2025 (a decline of 71.3%).
- Per Business Quant data, ACXP's Research & Development in the three quarters before Q2 2026 was $341,468 (Q1 2026), $281,807 (Q4 2025) and $429,691 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Acurx Pharmaceuticals | 6.23 Mn | 6.23 Mn | - | 1.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Mn |
| Mar 31, 2026 | 341,468.00 |
| Dec 31, 2025 | 281,807.00 |
| Sep 30, 2025 | 429,691.00 |
| Jun 30, 2025 | 524,210.00 |
| Mar 31, 2025 | 598,798.00 |
| Dec 31, 2024 | 825,059.00 |
| Sep 30, 2024 | 1.20 Mn |
| Jun 30, 2024 | 1.83 Mn |
| Mar 31, 2024 | 1.56 Mn |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 1.35 Mn |
| Jun 30, 2023 | 1.74 Mn |
| Mar 31, 2023 | 1.02 Mn |
| Dec 31, 2022 | 1.43 Mn |
| Sep 30, 2022 | 1.59 Mn |
| Jun 30, 2022 | 911,692.00 |
| Mar 31, 2022 | 818,888.00 |
| Dec 31, 2021 | 716,223.00 |
| Sep 30, 2021 | 1.13 Mn |
Acurx Pharmaceuticals 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=ACXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "ACXP", "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=ACXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();