Design Therapeutics (DSGN) Assets (2020 - 2026)
Design Therapeutics' Assets was $215.13 million in Q2 2026, down 3.5% from $222.89 million a year earlier and down 6.6% from the prior quarter.
Analysis
Design Therapeutics (DSGN) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Assets at Design Therapeutics came in at $226.2 million, down 10.3% from FY2024.
- Assets has now declined for four consecutive years, though with a five-year compound annual growth rate of 44.0% (FY2020 to FY2025).
- In earlier years, Assets was $252.09 million in FY2024 (-13.0%), $289.64 million in FY2023 (-15.1%), $341.14 million in FY2022 (-12.7%) and $390.56 million in FY2021 (+969.6%).
- Quarterly Assets has moved between $211.77 million (Q3 2025) and $400.35 million (Q3 2021) over five years.
- Compared with a year earlier, Assets has declined for 18 straight quarters, with an average decline of 11.7% over the last eight quarters.
- The best year-over-year quarter for Assets over five years was Q4 2021 (growth of 969.6%); the worst was Q3 2025 (a decline of 19.1%).
- Per Business Quant data, DSGN's Assets in the three quarters before Q2 2026 was $230.44 million (Q1 2026), $226.2 million (Q4 2025) and $211.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 148.07 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 197.43 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 147.68 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 132.77 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 122.03 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 115.83 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 96.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 51.41 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 205.00 Bn |
| 10 | Design Therapeutics | 678.89 Mn | -179.78 Mn | - | 216.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 216.81 Mn |
| Jun 30, 2026 | 215.13 Mn |
| Mar 31, 2026 | 230.44 Mn |
| Dec 31, 2025 | 226.20 Mn |
| Sep 30, 2025 | 211.77 Mn |
| Jun 30, 2025 | 222.89 Mn |
| Mar 31, 2025 | 237.48 Mn |
| Dec 31, 2024 | 252.09 Mn |
| Sep 30, 2024 | 261.63 Mn |
| Jun 30, 2024 | 269.58 Mn |
| Mar 31, 2024 | 278.79 Mn |
| Dec 31, 2023 | 289.64 Mn |
| Sep 30, 2023 | 299.87 Mn |
| Jun 30, 2023 | 311.63 Mn |
| Mar 31, 2023 | 324.74 Mn |
| Dec 31, 2022 | 341.14 Mn |
| Sep 30, 2022 | 354.57 Mn |
| Jun 30, 2022 | 367.93 Mn |
| Mar 31, 2022 | 378.80 Mn |
| Dec 31, 2021 | 390.56 Mn |
API Access
Design Therapeutics Assets 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=assets&ticker=DSGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DSGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();