vTv Therapeutics (VTVT) Selling, General & Administrative (2014 - 2026)
vTv Therapeutics' Selling, General & Administrative was $5.16 million in Q2 2026, up 42.6% from $3.62 million a year earlier and up 12.2% from the prior quarter.
vTv Therapeutics (VTVT) Selling, General & Administrative (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, vTv Therapeutics' Selling, General & Administrative was $17.41 million through Jun 30, 2026, up 31.4% year-over-year; for FY2025, it was $14.95 million, up 9.5% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $13.65 million in FY2024 (+14.6%), $11.91 million in FY2023 (-2.4%), $12.2 million in FY2022 (-1.2%) and $12.34 million in FY2021 (+70.2%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q1 2022.
- Compared with a year earlier, Selling, General & Administrative has increased for four straight quarters, with growth averaging 18.9% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 180.9%); the worst was Q4 2022 (a decline of 58.2%).
- Per Business Quant data, VTVT's Selling, General & Administrative in the three quarters before Q2 2026 was $4.6 million (Q1 2026), $3.98 million (Q4 2025) and $3.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | vTv Therapeutics | 379.35 Mn | 379.35 Mn | - | 5.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.16 Mn |
| Mar 31, 2026 | 4.60 Mn |
| Dec 31, 2025 | 3.98 Mn |
| Sep 30, 2025 | 3.68 Mn |
| Jun 30, 2025 | 3.62 Mn |
| Mar 31, 2025 | 3.67 Mn |
| Dec 31, 2024 | 2.68 Mn |
| Sep 30, 2024 | 3.28 Mn |
| Jun 30, 2024 | 3.72 Mn |
| Mar 31, 2024 | 3.98 Mn |
| Dec 31, 2023 | 2.57 Mn |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | 3.31 Mn |
| Mar 31, 2023 | 3.49 Mn |
| Dec 31, 2022 | 2.39 Mn |
| Sep 30, 2022 | 2.63 Mn |
| Jun 30, 2022 | 1.83 Mn |
| Mar 31, 2022 | 5.35 Mn |
| Dec 31, 2021 | 5.72 Mn |
| Sep 30, 2021 | 2.22 Mn |
vTv 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=VTVT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "VTVT", "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=VTVT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();