Vera Therapeutics (VERA) Selling, General & Administrative (2020 - 2026)
Vera Therapeutics (VERA) recorded Selling, General & Administrative of $52.41 million in Q2 2026, up 138.8% from $21.95 million a year earlier and up 34.0% from the prior quarter.
Vera Therapeutics (VERA) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a TTM basis, Vera Therapeutics' Selling, General & Administrative came in at $153.89 million as of Jun 30, 2026, up 144.6% year-over-year; for FY2025, it was $100.22 million, up 144.4% from FY2024.
- Annual Selling, General & Administrative has increased for five straight years, with a five-year compound annual growth rate of 90.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $41 million in FY2024 (+72.4%), $23.79 million in FY2023 (+8.6%), $21.91 million in FY2022 (+83.8%) and $11.92 million in FY2021 (+195.1%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2020.
- On a year-over-year basis, Selling, General & Administrative has increased for ten consecutive quarters, with growth averaging 136.2% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 465.6% in Q3 2021, against a decline of 9.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.12 million (Q1 2026), $34.9 million (Q4 2025) and $27.46 million (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 | Vera Therapeutics | 2.23 Bn | 2.23 Bn | - | 52.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.41 Mn |
| Mar 31, 2026 | 39.12 Mn |
| Dec 31, 2025 | 34.90 Mn |
| Sep 30, 2025 | 27.46 Mn |
| Jun 30, 2025 | 21.95 Mn |
| Mar 31, 2025 | 15.92 Mn |
| Dec 31, 2024 | 15.57 Mn |
| Sep 30, 2024 | 9.49 Mn |
| Jun 30, 2024 | 8.03 Mn |
| Mar 31, 2024 | 7.91 Mn |
| Dec 31, 2023 | 6.24 Mn |
| Sep 30, 2023 | 5.66 Mn |
| Jun 30, 2023 | 5.74 Mn |
| Mar 31, 2023 | 6.15 Mn |
| Dec 31, 2022 | 6.91 Mn |
| Sep 30, 2022 | 5.59 Mn |
| Jun 30, 2022 | 4.95 Mn |
| Mar 31, 2022 | 4.47 Mn |
| Dec 31, 2021 | 3.83 Mn |
| Sep 30, 2021 | 3.69 Mn |
Vera 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=VERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "VERA", "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=VERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();