Scynexis (SCYX) Shares Outstanding (Diluted) (2013 - 2026)
Scynexis' Shares Outstanding (Diluted) was 11.82 million in Q2 2026, up 90.1% from 6.22 million a year earlier and up 85.6% from the prior quarter.
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Analysis
Scynexis (SCYX) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Scynexis came in at 6.24 million, up 2.9% from FY2024.
- Shares Outstanding (Diluted) has now increased for 11 consecutive years, with a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 6.06 million in FY2024 (+0.3%), 6.05 million in FY2023 (+13.6%), 5.33 million in FY2022 (+61.5%) and 3.3 million in FY2021 (+97.1%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) in data going back to Q1 2013.
- Compared with a year earlier, Shares Outstanding (Diluted) has increased for eight straight quarters, with growth averaging 13.1% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2021 (growth of 107.3%); the worst was Q2 2024 (a decline of 2.8%).
- Per Business Quant data, SCYX's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 6.37 million (Q1 2026), 6.24 million (Q4 2025) and 6.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Scynexis | 49.15 Mn | -21.95 Mn | - | 11.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.82 Mn |
| Mar 31, 2026 | 6.37 Mn |
| Dec 31, 2025 | 6.24 Mn |
| Sep 30, 2025 | 6.24 Mn |
| Jun 30, 2025 | 6.22 Mn |
| Mar 31, 2025 | 6.18 Mn |
| Dec 31, 2024 | 6.06 Mn |
| Sep 30, 2024 | 6.08 Mn |
| Jun 30, 2024 | 6.06 Mn |
| Mar 31, 2024 | 6.07 Mn |
| Dec 31, 2023 | 6.05 Mn |
| Sep 30, 2023 | 5.99 Mn |
| Jun 30, 2023 | 6.24 Mn |
| Mar 31, 2023 | 5.97 Mn |
| Dec 31, 2022 | 5.33 Mn |
| Sep 30, 2022 | 5.94 Mn |
| Jun 30, 2022 | 5.41 Mn |
| Mar 31, 2022 | 4.15 Mn |
| Dec 31, 2021 | 3.30 Mn |
| Sep 30, 2021 | 3.47 Mn |
API Access
Scynexis Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SCYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();