Vivmark Residential (VMRK) Restructuring Costs (2012 - 2026)
Vivmark Residential's Restructuring Costs came in at $464.32 million for Q3 2026.
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Analysis
Vivmark Residential (VMRK) Restructuring Costs (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Vivmark Residential reported Restructuring Costs of $20 billion, up 4.9% year-over-year; for FY2013, it came in at -$19.86 million.
- Going back by year, Restructuring Costs was -$5.62 million in FY2012 and -$1.74 billion in FY2011.
- The Q3 2026 figure represents the highest quarterly Restructuring Costs since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Vici Properties | 27.54 Bn | 26.32 Bn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 464.32 Mn |
| Dec 31, 2013 | 19.72 Bn |
| Sep 30, 2013 | -182.00 Mn |
| Jun 30, 2013 | -467.00 Mn |
| Mar 31, 2013 | 19.09 Bn |
| Dec 31, 2012 | 1.92 Bn |
| Sep 30, 2012 | -87.00 Mn |
| Jun 30, 2012 | -685.00 Mn |
| Mar 31, 2012 | 1.15 Bn |
API Access
Vivmark Residential Restructuring Costs 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=restructuring-costs&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();