Vera Therapeutics (VERA) Cash & Equivalents (2020 - 2026)
Vera Therapeutics' Cash & Equivalents came in at $48.88 million for Q2 2026, down 0.5% from $49.12 million a year earlier and down 57.3% from the prior quarter.
Vera Therapeutics (VERA) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Vera Therapeutics' Cash & Equivalents was $354.73 million, up 282.9% from FY2024.
- Cash & Equivalents has increased in each of the last three years, with a five-year compound annual growth rate of 45.9% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $92.65 million in FY2024 (+102.8%), $45.68 million in FY2023 (+5.1%), $43.46 million in FY2022 (-45.5%) and $79.67 million in FY2021 (+48.5%).
- The Q2 2026 figure represents the lowest quarterly Cash & Equivalents since Q3 2024.
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 84.9%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2025 (growth of 282.9%), and the weakest in Q3 2022 (a decline of 64.6%).
- Business Quant data shows VERA's Cash & Equivalents at $114.35 million (Q1 2026), $354.73 million (Q4 2025) and $57.77 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Vera Therapeutics | 2.23 Bn | 2.23 Bn | - | 48.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.88 Mn |
| Mar 31, 2026 | 114.35 Mn |
| Dec 31, 2025 | 354.73 Mn |
| Sep 30, 2025 | 57.77 Mn |
| Jun 30, 2025 | 49.12 Mn |
| Mar 31, 2025 | 55.09 Mn |
| Dec 31, 2024 | 92.65 Mn |
| Sep 30, 2024 | 27.26 Mn |
| Jun 30, 2024 | 25.09 Mn |
| Mar 31, 2024 | 69.11 Mn |
| Dec 31, 2023 | 45.68 Mn |
| Sep 30, 2023 | 27.44 Mn |
| Jun 30, 2023 | 33.89 Mn |
| Mar 31, 2023 | 137.39 Mn |
| Dec 31, 2022 | 43.46 Mn |
| Sep 30, 2022 | 30.48 Mn |
| Jun 30, 2022 | 50.43 Mn |
| Mar 31, 2022 | 111.51 Mn |
| Dec 31, 2021 | 79.67 Mn |
| Sep 30, 2021 | 86.19 Mn |
Vera Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=VERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();