Vera Therapeutics (VERA) Research & Development (2020 - 2026)
Vera Therapeutics' Research & Development was $60.08 million in Q2 2026, up 3.2% from $58.2 million a year earlier but down 30.1% from the prior quarter.
Vera Therapeutics (VERA) Research & Development (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vera Therapeutics' Research & Development was $261.87 million through Jun 30, 2026, up 51.3% year-over-year; for FY2025, it came in at $215.26 million, up 70.6% from FY2024.
- Research & Development has now increased for four consecutive years, with a five-year compound annual growth rate of 36.6% (FY2020 to FY2025).
- In earlier years, Research & Development was $126.17 million in FY2024 (+61.3%), $78.23 million in FY2023 (+13.4%), $68.99 million in FY2022 (+206.9%) and $22.48 million in FY2021 (-50.3%).
- Quarterly Research & Development has moved between $3.56 million (Q3 2021) and $86.01 million (Q1 2026) over five years.
- Compared with a year earlier, Research & Development has increased for nine straight quarters, with growth averaging 77.1% over the last eight quarters.
- The best year-over-year quarter for Research & Development over five years was Q3 2022 (growth of 451.5%); the worst was Q4 2021 (a decline of 68.0%).
- Per Business Quant data, VERA's Research & Development in the three quarters before Q2 2026 was $86.01 million (Q1 2026), $59.31 million (Q4 2025) and $56.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 4.25 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 4.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 2.57 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 4.54 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 2.11 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.61 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 3.02 Bn |
| 10 | Vera Therapeutics | 2.20 Bn | 981,377.24 | 6.98 Mn | 41.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.25 Mn |
| Jun 30, 2026 | 60.08 Mn |
| Mar 31, 2026 | 86.01 Mn |
| Dec 31, 2025 | 59.31 Mn |
| Sep 30, 2025 | 56.47 Mn |
| Jun 30, 2025 | 58.20 Mn |
| Mar 31, 2025 | 41.28 Mn |
| Dec 31, 2024 | 33.35 Mn |
| Sep 30, 2024 | 40.31 Mn |
| Jun 30, 2024 | 29.31 Mn |
| Mar 31, 2024 | 23.20 Mn |
| Dec 31, 2023 | 20.79 Mn |
| Sep 30, 2023 | 16.10 Mn |
| Jun 30, 2023 | 16.23 Mn |
| Mar 31, 2023 | 25.11 Mn |
| Dec 31, 2022 | 26.68 Mn |
| Sep 30, 2022 | 19.66 Mn |
| Jun 30, 2022 | 10.11 Mn |
| Mar 31, 2022 | 12.55 Mn |
| Dec 31, 2021 | 12.75 Mn |
Vera Therapeutics Research & Development 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=research-and-development&ticker=VERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();