Vivmark Residential (VMRK) Capital Expenditures (2009 - 2026)
Vivmark Residential's Capital Expenditures was $29.86 million in Q4 2025, down 23.7% from $39.1 million a year earlier but up 34.2% from the prior quarter.
Vivmark Residential (VMRK) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2025, Capital Expenditures at Vivmark Residential came in at $111.81 million, down 13.9% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of -13.5% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $129.82 million in FY2024 (+66.0%), $78.2 million in FY2023 (-28.5%), $109.35 million in FY2022 (-47.0%) and $206.42 million in FY2021 (-10.4%).
- Quarterly Capital Expenditures has moved between $13.36 million (Q3 2023) and $64.6 million (Q1 2021) over five years.
- Compared with a year earlier, Capital Expenditures has declined for three straight quarters, with growth averaging 36.3% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q3 2024 (growth of 165.4%); the worst was Q1 2022 (a decline of 62.5%).
- Per Business Quant data, VMRK's Capital Expenditures in the three quarters before Q4 2025 was $22.24 million (Q3 2025), $28.74 million (Q2 2025) and $30.97 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | 5.21 Bn |
| 2 | Prologis | 124.09 Bn | 119.13 Bn | - | 799.74 Mn |
| 3 | Simon Property | 64.79 Bn | 60.64 Bn | - | 208.40 Mn |
| 4 | Realty Income | 51.71 Bn | 49.93 Bn | - | 1.90 Bn |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 185.52 Mn |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | 1.48 Bn |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 158.83 Mn |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 141.09 Mn |
| 9 | Vivmark Residential | 22.72 Bn | 22.50 Bn | - | 98.33 Mn |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 31.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98.33 Mn |
| Mar 31, 2026 | 62.00 Mn |
| Dec 31, 2025 | 23.66 Mn |
| Sep 30, 2025 | 103.08 Mn |
| Jun 30, 2025 | 472.91 Mn |
| Mar 31, 2025 | 61.95 Mn |
| Dec 31, 2024 | 274.51 Mn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 79.78 Mn |
| Mar 31, 2024 | 73.52 Mn |
| Sep 30, 2023 | 137.82 Mn |
| Jun 30, 2023 | 131.28 Mn |
| Mar 31, 2023 | 55.39 Mn |
| Dec 31, 2022 | 79.38 Mn |
| Sep 30, 2022 | 28.66 Mn |
| Mar 31, 2022 | 113.05 Mn |
| Dec 31, 2021 | 689.86 Mn |
| Sep 30, 2021 | 740.85 Mn |
| Jun 30, 2021 | 216.83 Mn |
| Mar 31, 2021 | 64.60 Mn |
Vivmark Residential Capital Expenditures 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=capital-expenditures&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();