Scynexis (SCYX) Return on Equity [ROE] (2014 - 2026)
Scynexis (SCYX) recorded Return on Equity [ROE] of -36.64% in Q2 2026, up 4.56 percentage points from -41.19% a year earlier and up 6.64 percentage points from the prior quarter.
Scynexis (SCYX) Return on Equity [ROE] (2014 - 2026) Analysis & Trends
For FY2025, Scynexis reported Return on Equity [ROE] of -16.48%, up 16.84 percentage points from FY2024.
- Annual Return on Equity [ROE] has a five-year change of +293.08 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Equity [ROE] came in at -33.33% in FY2024 (-209.36 pp), 176.03% in FY2023 (+458.37 pp), -282.34% in FY2022 (-179.56 pp) and -102.79% in FY2021 (+206.78 pp).
- Quarterly Return on Equity [ROE] has ranged from -614.51% in Q4 2022 to 140.49% in Q2 2023 over the past five years.
- On a year-over-year basis, Return on Equity [ROE] has increased for three consecutive quarters, with an average year-over-year change of -50.90 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 695.82 percentage points in Q4 2023, against a drop of 531.08 percentage points in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -43.28% (Q1 2026), -20.07% (Q4 2025) and -62.67% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.32% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 7.21% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 84.40% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 21.39% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.75% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -18.38% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.97% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 22.24% |
| 10 | Scynexis | 49.15 Mn | -21.95 Mn | - | -36.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.64% |
| Mar 31, 2026 | -43.28% |
| Dec 31, 2025 | -20.07% |
| Sep 30, 2025 | -62.67% |
| Jun 30, 2025 | -41.19% |
| Mar 31, 2025 | -51.40% |
| Dec 31, 2024 | -37.56% |
| Sep 30, 2024 | -61.24% |
| Jun 30, 2024 | -52.59% |
| Mar 31, 2024 | 137.83% |
| Dec 31, 2023 | 81.31% |
| Sep 30, 2023 | 78.02% |
| Jun 30, 2023 | 140.49% |
| Dec 31, 2022 | -614.51% |
| Sep 30, 2022 | -247.75% |
| Jun 30, 2022 | -115.34% |
| Mar 31, 2022 | -83.99% |
| Dec 31, 2021 | -83.43% |
| Sep 30, 2021 | -132.51% |
| Jun 30, 2021 | -153.90% |
Scynexis Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=SCYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();