Viking Therapeutics (VKTX) Selling, General & Administrative (2014 - 2026)
Viking Therapeutics (VKTX) reported Selling, General & Administrative of $16.84 million for Q2 2026, up 16.8% from $14.42 million a year earlier and up 20.5% from the prior quarter.
Viking Therapeutics (VKTX) Selling, General & Administrative (2014 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Viking Therapeutics' Selling, General & Administrative came in at $50.71 million, down 11.8% year-over-year; for FY2025, it came in at $48.39 million, down 1.8% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 35.2% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $49.28 million in FY2024 (+33.1%), $37.02 million in FY2023 (+129.6%), $16.12 million in FY2022 (+50.6%) and $10.7 million in FY2021 (-0.3%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q1 2014.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 20.3%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2023 (growth of 158.2%); the low point was Q3 2025 (a decline of 37.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.98 million (Q1 2026), $11.28 million (Q4 2025) and $8.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 3.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 5.65 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Viking Therapeutics | 3.01 Bn | 488.21 Mn | - | 16.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.84 Mn |
| Mar 31, 2026 | 13.98 Mn |
| Dec 31, 2025 | 11.28 Mn |
| Sep 30, 2025 | 8.61 Mn |
| Jun 30, 2025 | 14.42 Mn |
| Mar 31, 2025 | 14.08 Mn |
| Dec 31, 2024 | 15.25 Mn |
| Sep 30, 2024 | 13.77 Mn |
| Jun 30, 2024 | 10.29 Mn |
| Mar 31, 2024 | 9.97 Mn |
| Dec 31, 2023 | 8.78 Mn |
| Sep 30, 2023 | 8.89 Mn |
| Jun 30, 2023 | 9.82 Mn |
| Mar 31, 2023 | 9.53 Mn |
| Dec 31, 2022 | 4.11 Mn |
| Sep 30, 2022 | 4.24 Mn |
| Jun 30, 2022 | 4.09 Mn |
| Mar 31, 2022 | 3.69 Mn |
| Dec 31, 2021 | 2.66 Mn |
| Sep 30, 2021 | 2.61 Mn |
Viking 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=VKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "VKTX", "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=VKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();