Synlogic (SYBX) Return on Capital Employed [ROCE] (2016 - 2026)
Synlogic's Return on Capital Employed [ROCE] came in at -31.70% for Q2 2026, up 0.87 percentage points from -32.57% a year earlier.
Analysis
Synlogic (SYBX) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Synlogic's Return on Capital Employed [ROCE] was -28.52%, up 72.31 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +9.77 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -100.83% in FY2024 (-13.16 pp), -87.67% in FY2023 (-36.08 pp), -51.59% in FY2022 (-10.87 pp) and -40.73% in FY2021 (-2.43 pp).
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Year-over-year, Return on Capital Employed [ROCE] increased in five of the last seven quarters, with an average year-over-year change of +85.65 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2025 (a gain of 326.30 percentage points), and the weakest in Q3 2024 (a drop of 270.52 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 11.86% |
| 10 | Synlogic | 11.70 Mn | -48.77 Mn | - | -31.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.70% |
| Dec 31, 2025 | -32.28% |
| Sep 30, 2025 | -41.39% |
| Jun 30, 2025 | -32.57% |
| Mar 31, 2025 | -21.41% |
| Dec 31, 2024 | -309.86% |
| Sep 30, 2024 | -367.69% |
| Jun 30, 2024 | -303.37% |
| Mar 31, 2024 | -189.96% |
| Dec 31, 2023 | -135.82% |
| Sep 30, 2023 | -97.17% |
| Jun 30, 2023 | -88.01% |
| Mar 31, 2023 | -73.47% |
| Dec 31, 2022 | -62.76% |
| Sep 30, 2022 | -52.51% |
| Jun 30, 2022 | -44.19% |
| Mar 31, 2022 | -39.08% |
| Dec 31, 2021 | -35.21% |
| Sep 30, 2021 | -36.98% |
| Jun 30, 2021 | -42.21% |
API Access
Synlogic 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=SYBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SYBX", "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=SYBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();