Design Therapeutics (DSGN) Selling, General & Administrative (2020 - 2026)
Design Therapeutics (DSGN) recorded Selling, General & Administrative of $5.79 million in Q2 2026, down 0.7% from $5.83 million a year earlier but up 8.7% from the prior quarter.
Design Therapeutics (DSGN) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Design Therapeutics' Selling, General & Administrative came in at $20.58 million as of Jun 30, 2026, up 4.1% year-over-year; for FY2025, it came in at $20.34 million, up 12.8% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 52.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $18.03 million in FY2024 (-14.6%), $21.13 million in FY2023 (+11.3%), $18.98 million in FY2022 (+71.7%) and $11.05 million in FY2021 (+342.8%).
- Quarterly Selling, General & Administrative has ranged from $2.8 million in Q3 2021 to $5.92 million in Q1 2023 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in six of the last eight quarters, with growth averaging 5.6%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 472.2% in Q3 2021, against a decline of 22.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.33 million (Q1 2026), $4.74 million (Q4 2025) and $4.72 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | Design Therapeutics | 679.31 Mn | -179.36 Mn | - | 5.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.30 Mn |
| Jun 30, 2026 | 5.79 Mn |
| Mar 31, 2026 | 5.33 Mn |
| Dec 31, 2025 | 4.74 Mn |
| Sep 30, 2025 | 4.72 Mn |
| Jun 30, 2025 | 5.83 Mn |
| Mar 31, 2025 | 5.04 Mn |
| Dec 31, 2024 | 4.54 Mn |
| Sep 30, 2024 | 4.37 Mn |
| Jun 30, 2024 | 4.53 Mn |
| Mar 31, 2024 | 4.60 Mn |
| Dec 31, 2023 | 4.11 Mn |
| Sep 30, 2023 | 5.57 Mn |
| Jun 30, 2023 | 5.53 Mn |
| Mar 31, 2023 | 5.92 Mn |
| Dec 31, 2022 | 5.14 Mn |
| Sep 30, 2022 | 4.89 Mn |
| Jun 30, 2022 | 4.34 Mn |
| Mar 31, 2022 | 4.61 Mn |
| Dec 31, 2021 | 3.79 Mn |
Design Therapeutics Selling, General & Administrative 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=selling-general-and-administrative&ticker=DSGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DSGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();