Decoy Therapeutics (DCOY) Selling, General & Administrative (2015 - 2026)
Decoy Therapeutics (DCOY) posted Selling, General & Administrative of $1.33 million for Q2 2026, up 56.2% from $849,182 a year earlier but down 13.5% from the prior quarter.
Decoy Therapeutics (DCOY) Selling, General & Administrative (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Decoy Therapeutics was $4.1 million, down 12.4% year-over-year; for FY2025, it was $3.73 million, down 24.9% from FY2024.
- Annual Selling, General & Administrative has declined for three consecutive years, with a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- In prior years, Decoy Therapeutics' Selling, General & Administrative was $4.96 million in FY2024 (-13.2%), $5.72 million in FY2023 (-19.9%), $7.14 million in FY2022 (+16.9%) and $6.1 million in FY2021 (unchanged).
- Quarterly Selling, General & Administrative has run from a low of $402,167 in Q4 2025 to a high of $1.84 million in Q2 2022 over five years.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last eight quarters, with an average decline of 5.8%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q2 2026, with growth of 56.2%; the weakest was Q4 2025, with a decline of 69.4%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $1.53 million (Q1 2026), $402,167 (Q4 2025) and $833,304 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Decoy Therapeutics | 989,460.49 | 989,460.49 | - | 1.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Mn |
| Mar 31, 2026 | 1.53 Mn |
| Dec 31, 2025 | 402,167.00 |
| Sep 30, 2025 | 833,304.00 |
| Jun 30, 2025 | 849,182.00 |
| Mar 31, 2025 | 1.64 Mn |
| Dec 31, 2024 | 1.31 Mn |
| Sep 30, 2024 | 869,237.00 |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 1.53 Mn |
| Dec 31, 2023 | 910,748.00 |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 1.62 Mn |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | 1.79 Mn |
| Sep 30, 2022 | 1.83 Mn |
| Jun 30, 2022 | 1.84 Mn |
| Mar 31, 2022 | 1.68 Mn |
| Dec 31, 2021 | 1.45 Mn |
| Sep 30, 2021 | 1.73 Mn |
Decoy 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=DCOY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "DCOY", "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=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();