Scynexis (SCYX) Return on Capital Employed [ROCE] (2014 - 2026)
Scynexis (SCYX) reported Return on Capital Employed [ROCE] of -32.07% for Q2 2026, up 36.32 percentage points from -68.38% a year earlier and up 14.44 percentage points from the prior quarter.
Scynexis (SCYX) Return on Capital Employed [ROCE] (2014 - 2026) Analysis & Trends
For FY2025, Scynexis posted Return on Capital Employed [ROCE] of -23.26%, up 20.19 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +72.44 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -43.45% in FY2024 (-122.60 pp), 79.15% in FY2023 (+178.63 pp), -99.48% in FY2022 (-37.13 pp) and -62.35% in FY2021 (+33.34 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last three quarters, with an average year-over-year change of -39.47 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q1 2024 (a gain of 306.52 percentage points); the low point was Q1 2023 (a drop of 152.72 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -46.51% (Q1 2026), -32.56% (Q4 2025) and -73.04% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Scynexis | 50.94 Mn | -20.16 Mn | - | -32.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -32.07% |
| Mar 31, 2026 | -46.51% |
| Dec 31, 2025 | -32.56% |
| Sep 30, 2025 | -73.04% |
| Jun 30, 2025 | -68.38% |
| Mar 31, 2025 | -51.51% |
| Dec 31, 2024 | -52.47% |
| Sep 30, 2024 | -67.09% |
| Jun 30, 2024 | -59.12% |
| Mar 31, 2024 | 76.93% |
| Dec 31, 2023 | 59.48% |
| Sep 30, 2023 | 54.30% |
| Jun 30, 2023 | 63.84% |
| Mar 31, 2023 | -229.58% |
| Dec 31, 2022 | -104.03% |
| Sep 30, 2022 | -78.02% |
| Jun 30, 2022 | -77.35% |
| Mar 31, 2022 | -76.87% |
| Dec 31, 2021 | -60.09% |
| Sep 30, 2021 | -52.68% |
Scynexis Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SCYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();