Dyne Therapeutics (DYN) Return on Equity [ROE] (2020 - 2026)
Dyne Therapeutics (DYN) reported Return on Equity [ROE] of -64.72% for Q2 2026, up 1.44 percentage points from -66.16% a year earlier but down 16.55 percentage points from the prior quarter.
Dyne Therapeutics (DYN) Return on Equity [ROE] (2020 - 2026) Analysis & Trends
For FY2025, Dyne Therapeutics posted Return on Equity [ROE] of -54.72%, up 33.18 percentage points from FY2024.
- Return on Equity [ROE] has a five-year change of -21.84 percentage points (FY2020 to FY2025).
- By year, Return on Equity [ROE] came in at -87.91% in FY2024 (+48.58 pp), -136.49% in FY2023 (-82.33 pp), -54.16% in FY2022 (-12.14 pp) and -42.02% in FY2021 (-9.14 pp).
- Five-year quarterly Return on Equity [ROE] spans a low of -192.76% in Q4 2023 and a high of -29.09% in Q3 2021.
- Year over year, Return on Equity [ROE] gained in five of the last eight quarters, with an average year-over-year change of +25.84 percentage points.
- The high point for year-over-year Return on Equity [ROE] in five years was Q4 2024 (a gain of 145.30 percentage points); the low point was Q4 2023 (a drop of 125.82 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -48.18% (Q1 2026), -53.05% (Q4 2025) and -66.87% (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 | Dyne Therapeutics | 2.67 Bn | 2.67 Bn | - | -64.72% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -64.72% |
| Mar 31, 2026 | -48.18% |
| Dec 31, 2025 | -53.05% |
| Sep 30, 2025 | -66.87% |
| Jun 30, 2025 | -66.16% |
| Mar 31, 2025 | -56.36% |
| Dec 31, 2024 | -47.46% |
| Sep 30, 2024 | -39.61% |
| Jun 30, 2024 | -41.03% |
| Mar 31, 2024 | -90.18% |
| Dec 31, 2023 | -192.76% |
| Sep 30, 2023 | -115.56% |
| Jun 30, 2023 | -84.08% |
| Mar 31, 2023 | -71.40% |
| Dec 31, 2022 | -66.94% |
| Sep 30, 2022 | -67.44% |
| Jun 30, 2022 | -58.45% |
| Mar 31, 2022 | -45.37% |
| Dec 31, 2021 | -38.16% |
| Sep 30, 2021 | -29.09% |
Dyne Therapeutics 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=DYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "DYN", "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=DYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();