Vera Therapeutics (VERA) Depreciation & Amortization (CF) (2020 - 2026)
Vera Therapeutics' Depreciation & Amortization (CF) came in at $132,000 for Q2 2026, up 10.9% from $119,000 a year earlier but down 5.7% from the prior quarter.
Vera Therapeutics (VERA) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vera Therapeutics reported Depreciation & Amortization (CF) of $536,000, up 89.4% year-over-year; for FY2025, it came in at $468,000, up 345.7% from FY2024.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $105,000 in FY2024 (+400.0%), $21,000 in FY2023, -$846,000 in FY2022 and $176,000 in FY2021 (-29.9%).
- The five-year range for quarterly Depreciation & Amortization (CF) is -$597,000 (Q4 2022) to $517,000 (Q2 2023).
- Year-over-year, Depreciation & Amortization (CF) has increased for six consecutive quarters, with growth averaging 332.1% over the last seven quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q2 2025 (growth of 693.3%), and the weakest in Q2 2024 (a decline of 97.1%).
- Business Quant data shows VERA's Depreciation & Amortization (CF) at $140,000 (Q1 2026), $135,000 (Q4 2025) and $129,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.58 Bn |
| 10 | Vera Therapeutics | 2.17 Bn | -23.42 Mn | 6.98 Mn | 823,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 823,000.00 |
| Jun 30, 2026 | 132,000.00 |
| Mar 31, 2026 | 140,000.00 |
| Dec 31, 2025 | 135,000.00 |
| Sep 30, 2025 | 129,000.00 |
| Jun 30, 2025 | 119,000.00 |
| Mar 31, 2025 | 85,000.00 |
| Dec 31, 2024 | 55,000.00 |
| Sep 30, 2024 | 24,000.00 |
| Jun 30, 2024 | 15,000.00 |
| Mar 31, 2024 | 11,000.00 |
| Dec 31, 2023 | 4,000.00 |
| Sep 30, 2023 | 6,000.00 |
| Jun 30, 2023 | 517,000.00 |
| Mar 31, 2023 | -506,000.00 |
| Dec 31, 2022 | -597,000.00 |
| Sep 30, 2022 | -152,000.00 |
| Jun 30, 2022 | -106,000.00 |
| Mar 31, 2022 | 9,000.00 |
| Dec 31, 2021 | 32,000.00 |
Vera Therapeutics Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=VERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=VERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();