Scynexis (SCYX) Research & Development (2013 - 2026)
Scynexis (SCYX) posted Research & Development of $3.89 million for Q2 2026, down 45.5% from $7.14 million a year earlier and down 68.5% from the prior quarter.
Scynexis (SCYX) Research & Development (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Scynexis was $26.24 million, up 6.4% year-over-year; for FY2025, it came in at $22.28 million, down 15.6% from FY2024.
- Annual Research & Development shows a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- In prior years, Scynexis' Research & Development was $26.41 million in FY2024 (-14.6%), $30.93 million in FY2023 (+13.5%), $27.26 million in FY2022 (+14.7%) and $23.77 million in FY2021 (-34.9%).
- The Q2 2026 figure stands as the lowest quarterly Research & Development since Q4 2016.
- On a year-over-year basis, Research & Development increased in four of the last eight quarters, with growth averaging 1.2%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2026, with growth of 140.2%; the weakest was Q4 2024, with a decline of 59.2%.
- According to Business Quant data, Research & Development for the three prior quarters was $12.35 million (Q1 2026), $4.55 million (Q4 2025) and $5.45 million (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 | Scynexis | 45.97 Mn | -25.13 Mn | - | 3.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.89 Mn |
| Mar 31, 2026 | 12.35 Mn |
| Dec 31, 2025 | 4.55 Mn |
| Sep 30, 2025 | 5.45 Mn |
| Jun 30, 2025 | 7.14 Mn |
| Mar 31, 2025 | 5.14 Mn |
| Dec 31, 2024 | 4.31 Mn |
| Sep 30, 2024 | 8.07 Mn |
| Jun 30, 2024 | 6.81 Mn |
| Mar 31, 2024 | 7.21 Mn |
| Dec 31, 2023 | 10.59 Mn |
| Sep 30, 2023 | 6.47 Mn |
| Jun 30, 2023 | 7.04 Mn |
| Mar 31, 2023 | 6.84 Mn |
| Dec 31, 2022 | 7.85 Mn |
| Sep 30, 2022 | 6.43 Mn |
| Jun 30, 2022 | 7.13 Mn |
| Mar 31, 2022 | 5.74 Mn |
| Dec 31, 2021 | 7.69 Mn |
| Sep 30, 2021 | 4.40 Mn |
Scynexis 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=SCYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "SCYX", "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=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();