Vera Therapeutics (VERA) Accumulated Expenses (2020 - 2026)
Vera Therapeutics' Accumulated Expenses came in at $33.75 million for Q2 2026, up 72.7% from $19.54 million a year earlier and up 8.0% from the prior quarter.
Powered by 
Analysis
Vera Therapeutics (VERA) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Vera Therapeutics' Accumulated Expenses was $31.56 million, up 94.5% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 84.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $16.22 million in FY2024 (+85.4%), $8.75 million in FY2023 (-20.2%), $10.96 million in FY2022 (+73.9%) and $6.31 million in FY2021 (+321.2%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2020.
- Year-over-year, Accumulated Expenses has increased for nine consecutive quarters, with growth averaging 84.6% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2022 (growth of 338.9%), and the weakest in Q1 2024 (a decline of 54.8%).
- Business Quant data shows VERA's Accumulated Expenses at $31.24 million (Q1 2026), $31.56 million (Q4 2025) and $23.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Vera Therapeutics | 2.17 Bn | -23.42 Mn | 6.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.60 Mn |
| Jun 30, 2026 | 33.75 Mn |
| Mar 31, 2026 | 31.24 Mn |
| Dec 31, 2025 | 31.56 Mn |
| Sep 30, 2025 | 23.46 Mn |
| Jun 30, 2025 | 19.54 Mn |
| Mar 31, 2025 | 11.44 Mn |
| Dec 31, 2024 | 16.22 Mn |
| Sep 30, 2024 | 19.99 Mn |
| Jun 30, 2024 | 11.64 Mn |
| Mar 31, 2024 | 7.06 Mn |
| Dec 31, 2023 | 8.75 Mn |
| Sep 30, 2023 | 9.80 Mn |
| Jun 30, 2023 | 11.00 Mn |
| Mar 31, 2023 | 15.60 Mn |
| Dec 31, 2022 | 10.96 Mn |
| Sep 30, 2022 | 6.22 Mn |
| Jun 30, 2022 | 7.75 Mn |
| Mar 31, 2022 | 10.15 Mn |
| Dec 31, 2021 | 6.31 Mn |
API Access
Vera Therapeutics Accumulated 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=accumulated-expenses&ticker=VERA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();