Scynexis (SCYX) Accumulated Expenses (2013 - 2026)
Scynexis' Accumulated Expenses was $2.03 million in Q2 2026, down 17.9% from $2.48 million a year earlier but up 33.0% from the prior quarter.
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Analysis
Scynexis (SCYX) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Scynexis came in at $2.79 million, down 26.4% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -7.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $3.79 million in FY2024 (-49.4%), $7.5 million in FY2023 (+33.2%), $5.63 million in FY2022 (-1.2%) and $5.7 million in FY2021 (+37.6%).
- Quarterly Accumulated Expenses has moved between $1.53 million (Q1 2026) and $9.54 million (Q3 2023) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for ten straight quarters, with an average decline of 40.7% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2022 (growth of 111.9%); the worst was Q2 2025 (a decline of 54.9%).
- Per Business Quant data, SCYX's Accumulated Expenses in the three quarters before Q2 2026 was $1.53 million (Q1 2026), $2.79 million (Q4 2025) and $2.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Scynexis | 49.15 Mn | -21.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.03 Mn |
| Mar 31, 2026 | 1.53 Mn |
| Dec 31, 2025 | 2.79 Mn |
| Sep 30, 2025 | 2.77 Mn |
| Jun 30, 2025 | 2.48 Mn |
| Mar 31, 2025 | 2.63 Mn |
| Dec 31, 2024 | 3.79 Mn |
| Sep 30, 2024 | 5.51 Mn |
| Jun 30, 2024 | 5.50 Mn |
| Mar 31, 2024 | 4.60 Mn |
| Dec 31, 2023 | 7.50 Mn |
| Sep 30, 2023 | 9.54 Mn |
| Jun 30, 2023 | 7.19 Mn |
| Mar 31, 2023 | 4.78 Mn |
| Dec 31, 2022 | 5.63 Mn |
| Sep 30, 2022 | 5.86 Mn |
| Jun 30, 2022 | 5.40 Mn |
| Mar 31, 2022 | 4.52 Mn |
| Dec 31, 2021 | 5.70 Mn |
| Sep 30, 2021 | 4.61 Mn |
API Access
Scynexis Accumulated Expenses 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=accumulated-expenses&ticker=SCYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();