Design Therapeutics (DSGN) Return on Capital Employed [ROCE] (2021 - 2026)
Design Therapeutics' Return on Capital Employed [ROCE] was -37.52% in Q2 2026, down 3.68 percentage points from -33.84% a year earlier and down 1.41 percentage points from the prior quarter.
Design Therapeutics (DSGN) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Design Therapeutics came in at -35.15%, down 11.37 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of -17.94 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -23.77% in FY2024 (+1.80 pp), -25.57% in FY2023 (-6.54 pp), -19.04% in FY2022 (-1.83 pp) and -17.21% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has moved between -38.59% (Q4 2025) and -7.19% (Q3 2021) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for six straight quarters, with an average year-over-year change of -5.66 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2024 (a gain of 4.56 percentage points); the worst was Q3 2025 (a drop of 14.28 percentage points).
- Per Business Quant data, DSGN's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -36.10% (Q1 2026), -38.59% (Q4 2025) and -37.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 11.86% |
| 10 | Design Therapeutics | 765.98 Mn | -90.05 Mn | - | -37.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -37.52% |
| Mar 31, 2026 | -36.10% |
| Dec 31, 2025 | -38.59% |
| Sep 30, 2025 | -37.83% |
| Jun 30, 2025 | -33.84% |
| Mar 31, 2025 | -28.92% |
| Dec 31, 2024 | -25.11% |
| Sep 30, 2024 | -23.55% |
| Jun 30, 2024 | -23.67% |
| Mar 31, 2024 | -25.60% |
| Dec 31, 2023 | -27.42% |
| Sep 30, 2023 | -28.11% |
| Jun 30, 2023 | -27.06% |
| Mar 31, 2023 | -23.43% |
| Dec 31, 2022 | -20.05% |
| Sep 30, 2022 | -16.91% |
| Jun 30, 2022 | -14.06% |
| Mar 31, 2022 | -11.48% |
| Dec 31, 2021 | -9.18% |
| Sep 30, 2021 | -7.19% |
Design Therapeutics 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=DSGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "DSGN", "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=DSGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();