Vivmark Residential (VMRK) Depreciation & Amortization (CF) (2009 - 2026)
Vivmark Residential (VMRK) recorded Depreciation & Amortization (CF) of $246.38 million in Q2 2026, up 2.3% from $240.89 million a year earlier.
Vivmark Residential (VMRK) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
On a TTM basis, Vivmark Residential's Depreciation & Amortization (CF) came in at $1 billion as of Jun 30, 2026, unchanged year-over-year; for FY2025, it came in at $1.01 billion, up 6.1% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for five straight years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $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 (CF) has ranged from $214.13 million in Q3 2022 to $264.15 million in Q4 2024 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in six of the last seven quarters, with growth averaging 7.2%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 16.5% in Q4 2024, against a decline of 6.1% in Q1 2023 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.31 Bn | 146.80 Bn | 1.39 Bn | 737.76 Mn |
| 2 | Prologis | 124.18 Bn | 119.22 Bn | - | 689.52 Mn |
| 3 | Simon Property | 64.55 Bn | 60.40 Bn | - | 532.59 Mn |
| 4 | Realty Income | 51.65 Bn | 49.88 Bn | - | 644.68 Mn |
| 5 | Public Storage | 50.71 Bn | 49.70 Bn | - | 287.76 Mn |
| 6 | Ventas | 41.48 Bn | 40.17 Bn | - | 407.71 Mn |
| 7 | Extra Space Storage | 28.27 Bn | 28.27 Bn | 642.43 Mn | 185.61 Mn |
| 8 | Vici Properties | 25.03 Bn | 23.14 Bn | 1.05 Bn | 998,000.00 |
| 9 | Vivmark Residential | 22.70 Bn | 22.48 Bn | - | 246.38 Mn |
| 10 | Essex Property Trust | 17.31 Bn | 17.07 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 (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=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-cf&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();