Vera Therapeutics (VERA) Receivables - Accured (2023 - 2026)
Vera Therapeutics' Receivables - Accured came in at $3.93 million for Q2 2026, down 6.5% from $4.2 million a year earlier but up 0.5% from the prior quarter.
Vera Therapeutics (VERA) Receivables - Accured (2023 - 2026) Analysis & Trends
At the end of FY2025, Vera Therapeutics' Receivables - Accured was $3.29 million, down 12.9% from FY2024.
- Going back by year, Receivables - Accured was $3.77 million in FY2024 (+636.9%) and $512,000 in FY2023.
- The five-year range for quarterly Receivables - Accured is $512,000 (Q4 2023) to $4.2 million (Q2 2025).
- Year-over-year, Receivables - Accured increased in five of the last seven quarters, with growth averaging 132.7%.
- Business Quant data shows VERA's Receivables - Accured at $3.91 million (Q1 2026), $3.29 million (Q4 2025) and $3.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Accured (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | - |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | - |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | - |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | - |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Vera Therapeutics | 2.34 Bn | 2.34 Bn | - | 3.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.93 Mn |
| Mar 31, 2026 | 3.91 Mn |
| Dec 31, 2025 | 3.29 Mn |
| Sep 30, 2025 | 3.36 Mn |
| Jun 30, 2025 | 4.20 Mn |
| Mar 31, 2025 | 3.59 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 2.00 Mn |
| Jun 30, 2024 | 1.96 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 512,000.00 |
Vera Therapeutics Receivables - Accured 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=receivables-accured&ticker=VERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-accured", "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=receivables-accured&ticker=VERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();