Vera Therapeutics (VERA) Operating Expenses (2020 - 2026)
Vera Therapeutics (VERA) posted Operating Expenses of $112.49 million for Q2 2026, up 40.4% from $80.14 million a year earlier but down 10.1% from the prior quarter.
Vera Therapeutics (VERA) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Vera Therapeutics was $415.76 million, up 76.1% year-over-year; for FY2025, it came in at $315.47 million, up 88.7% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 43.3% (FY2020 to FY2025).
- In prior years, Vera Therapeutics' Operating Expenses was $167.17 million in FY2024 (+63.9%), $102.01 million in FY2023 (+12.2%), $90.9 million in FY2022 (+164.2%) and $34.4 million in FY2021 (-34.1%).
- Quarterly Operating Expenses has run from a low of $7.25 million in Q3 2021 to a high of $125.13 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last nine quarters, with growth averaging 91.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 260.9%; the weakest was Q4 2021, with a decline of 61.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $125.13 million (Q1 2026), $94.21 million (Q4 2025) and $83.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Vera Therapeutics | 2.34 Bn | 2.34 Bn | - | 112.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.49 Mn |
| Mar 31, 2026 | 125.13 Mn |
| Dec 31, 2025 | 94.21 Mn |
| Sep 30, 2025 | 83.93 Mn |
| Jun 30, 2025 | 80.14 Mn |
| Mar 31, 2025 | 57.19 Mn |
| Dec 31, 2024 | 48.91 Mn |
| Sep 30, 2024 | 49.80 Mn |
| Jun 30, 2024 | 37.34 Mn |
| Mar 31, 2024 | 31.11 Mn |
| Dec 31, 2023 | 27.03 Mn |
| Sep 30, 2023 | 21.76 Mn |
| Jun 30, 2023 | 21.97 Mn |
| Mar 31, 2023 | 31.26 Mn |
| Dec 31, 2022 | 33.58 Mn |
| Sep 30, 2022 | 25.24 Mn |
| Jun 30, 2022 | 15.06 Mn |
| Mar 31, 2022 | 17.02 Mn |
| Dec 31, 2021 | 16.59 Mn |
| Sep 30, 2021 | 7.25 Mn |
Vera Therapeutics Operating Expenses 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=operating-expenses&ticker=VERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();