Context Therapeutics (CNTX) Selling, General & Administrative (2020 - 2026)
Context Therapeutics (CNTX) reported Selling, General & Administrative of $2.44 million for Q2 2026, up 26.5% from $1.93 million a year earlier and up 4.7% from the prior quarter.
Context Therapeutics (CNTX) Selling, General & Administrative (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Context Therapeutics' Selling, General & Administrative came in at $8.62 million, up 12.5% year-over-year; for FY2025, it came in at $7.85 million, up 8.6% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 53.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $7.22 million in FY2024 (-0.9%), $7.29 million in FY2023 (-6.4%), $7.79 million in FY2022 (+114.4%) and $3.63 million in FY2021 (+290.4%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q3 2020.
- Year over year, Selling, General & Administrative has now increased in each of the last eight quarters, with growth averaging 11.8% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 929.3%); the low point was Q3 2023 (a decline of 14.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.33 million (Q1 2026), $1.96 million (Q4 2025) and $1.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Context Therapeutics | 21.97 Mn | -218.49 Mn | - | 2.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.44 Mn |
| Mar 31, 2026 | 2.33 Mn |
| Dec 31, 2025 | 1.96 Mn |
| Sep 30, 2025 | 1.89 Mn |
| Jun 30, 2025 | 1.93 Mn |
| Mar 31, 2025 | 2.07 Mn |
| Dec 31, 2024 | 1.79 Mn |
| Sep 30, 2024 | 1.88 Mn |
| Jun 30, 2024 | 1.70 Mn |
| Mar 31, 2024 | 1.85 Mn |
| Dec 31, 2023 | 1.63 Mn |
| Sep 30, 2023 | 1.70 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 2.13 Mn |
| Dec 31, 2022 | 1.74 Mn |
| Sep 30, 2022 | 1.97 Mn |
| Jun 30, 2022 | 1.99 Mn |
| Mar 31, 2022 | 2.09 Mn |
| Dec 31, 2021 | 1.80 Mn |
| Sep 30, 2021 | 828,464.00 |
Context 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=CNTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "CNTX", "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=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();