Coya Therapeutics (COYA) Selling, General & Administrative (2022 - 2026)
Coya Therapeutics (COYA) reported Selling, General & Administrative of $2.26 million for Q2 2026, down 22.4% from $2.91 million a year earlier and down 40.4% from the prior quarter.
Coya Therapeutics (COYA) Selling, General & Administrative (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Coya Therapeutics' Selling, General & Administrative came in at $11.86 million, up 18.9% year-over-year; for FY2025, it was $11.45 million, up 28.9% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a four-year compound annual growth rate of 49.2% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $8.89 million in FY2024 (+13.4%), $7.83 million in FY2023 (+61.6%), $4.85 million in FY2022 (+109.6%) and $2.31 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q4 2024.
- Year over year, Selling, General & Administrative gained in six of the last eight quarters, with growth averaging 17.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2023 (growth of 164.6%); the low point was Q2 2026 (a decline of 22.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.78 million (Q1 2026), $3.27 million (Q4 2025) and $2.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,124.59 Bn | 1,093.18 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 634.91 Bn | 554.77 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 505.42 Bn | 478.53 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 357.53 Bn | 311.91 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 289.90 Bn | 253.89 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 264.89 Bn | 238.58 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 237.79 Bn | 193.19 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 194.74 Bn | 168.94 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 171.08 Bn | 117.73 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Coya Therapeutics | 93.93 Mn | -74.95 Mn | - | 2.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.26 Mn |
| Mar 31, 2026 | 3.78 Mn |
| Dec 31, 2025 | 3.27 Mn |
| Sep 30, 2025 | 2.56 Mn |
| Jun 30, 2025 | 2.91 Mn |
| Mar 31, 2025 | 2.71 Mn |
| Dec 31, 2024 | 2.14 Mn |
| Sep 30, 2024 | 2.22 Mn |
| Jun 30, 2024 | 2.09 Mn |
| Mar 31, 2024 | 2.44 Mn |
| Dec 31, 2023 | 2.38 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 1.66 Mn |
| Dec 31, 2022 | 898,646.00 |
| Sep 30, 2022 | 1.24 Mn |
| Jun 30, 2022 | 1.99 Mn |
| Mar 31, 2022 | 717,524.00 |
Coya 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=COYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "COYA", "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=COYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();