Vivmark Residential (VMRK) Depreciation & Amortization - Total (2009 - 2026)
Vivmark Residential's Depreciation & Amortization - Total was $246.38 million in Q2 2026, up 2.3% from $240.89 million a year earlier.
Vivmark Residential (VMRK) Depreciation & Amortization - Total (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vivmark Residential's Depreciation & Amortization - Total was $1 billion through Jun 30, 2026, unchanged year-over-year; for FY2025, it was $1.01 billion, up 6.1% from FY2024.
- Depreciation & Amortization - Total has now increased for five consecutive years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization - Total was $952.19 million in FY2024 (+7.1%), $888.71 million in FY2023 (+0.7%), $882.17 million in FY2022 (+5.2%) and $838.27 million in FY2021 (+2.1%).
- Quarterly Depreciation & Amortization - Total has moved between $214.13 million (Q3 2022) and $264.15 million (Q4 2024) over five years.
- Compared with a year earlier, Depreciation & Amortization - Total was higher in six of the last seven quarters, with growth averaging 7.2%.
- The best year-over-year quarter for Depreciation & Amortization - Total over five years was Q4 2024 (growth of 16.5%); the worst was Q1 2023 (a decline of 6.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | - |
| 2 | Prologis | 124.09 Bn | 119.13 Bn | - | - |
| 3 | Simon Property | 64.79 Bn | 60.64 Bn | - | - |
| 4 | Realty Income | 51.71 Bn | 49.93 Bn | - | - |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 271.79 Mn |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | - |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.72 Bn | 22.50 Bn | - | 246.38 Mn |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 154.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 246.38 Mn |
| Mar 31, 2026 | 247.50 Mn |
| Dec 31, 2025 | 258.11 Mn |
| Sep 30, 2025 | 254.66 Mn |
| Jun 30, 2025 | 240.89 Mn |
| Mar 31, 2025 | 256.75 Mn |
| Dec 31, 2024 | 264.15 Mn |
| Sep 30, 2024 | 237.95 Mn |
| Jun 30, 2024 | 224.40 Mn |
| Mar 31, 2024 | 225.70 Mn |
| Dec 31, 2023 | 226.79 Mn |
| Sep 30, 2023 | 224.74 Mn |
| Jun 30, 2023 | 221.36 Mn |
| Mar 31, 2023 | 215.83 Mn |
| Dec 31, 2022 | 214.27 Mn |
| Sep 30, 2022 | 214.13 Mn |
| Jun 30, 2022 | 223.81 Mn |
| Mar 31, 2022 | 229.96 Mn |
| Dec 31, 2021 | 222.24 Mn |
| Sep 30, 2021 | 215.40 Mn |
Vivmark Residential Depreciation & Amortization - Total 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-total&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "VMRK", "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-total&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();