Vivmark Residential (VMRK) Selling, General & Administrative (2009 - 2026)
Vivmark Residential's Selling, General & Administrative was $16.64 million in Q2 2026, down 10.2% from $18.53 million a year earlier.
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Analysis
Vivmark Residential (VMRK) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vivmark Residential's Selling, General & Administrative was $63.67 million through Jun 30, 2026, down 0.7% year-over-year; for FY2025, it came in at $65.28 million, up 5.9% from FY2024.
- Selling, General & Administrative has now increased for five consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $61.65 million in FY2024 (+1.5%), $60.72 million in FY2023 (+3.4%), $58.71 million in FY2022 (+3.9%) and $56.51 million in FY2021 (+17.0%).
- Quarterly Selling, General & Administrative has moved between $11.58 million (Q4 2023) and $18.88 million (Q2 2023) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in five of the last seven quarters, with growth averaging 4.0%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2021 (growth of 20.8%); the worst was Q4 2022 (a decline of 12.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.25 Bn | 146.74 Bn | 1.39 Bn | 67.49 Mn |
| 2 | Prologis | 124.09 Bn | 119.13 Bn | - | 129.63 Mn |
| 3 | Simon Property | 64.79 Bn | 60.64 Bn | - | 54.30 Mn |
| 4 | Realty Income | 51.71 Bn | 49.93 Bn | - | 57.61 Mn |
| 5 | Public Storage | 50.81 Bn | 49.80 Bn | - | 44.37 Mn |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | 46.99 Mn |
| 7 | Extra Space Storage | 28.30 Bn | 28.30 Bn | 642.43 Mn | 47.32 Mn |
| 8 | Vici Properties | 25.09 Bn | 23.21 Bn | 1.05 Bn | 15.43 Mn |
| 9 | Vivmark Residential | 22.72 Bn | 22.50 Bn | - | 16.64 Mn |
| 10 | Essex Property Trust | 17.34 Bn | 17.10 Bn | - | 73.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.64 Mn |
| Mar 31, 2026 | 16.87 Mn |
| Dec 31, 2025 | 13.83 Mn |
| Sep 30, 2025 | 14.66 Mn |
| Jun 30, 2025 | 18.53 Mn |
| Mar 31, 2025 | 18.26 Mn |
| Dec 31, 2024 | 12.75 Mn |
| Sep 30, 2024 | 14.55 Mn |
| Jun 30, 2024 | 18.63 Mn |
| Mar 31, 2024 | 15.72 Mn |
| Dec 31, 2023 | 11.58 Mn |
| Sep 30, 2023 | 14.09 Mn |
| Jun 30, 2023 | 18.88 Mn |
| Mar 31, 2023 | 16.17 Mn |
| Dec 31, 2022 | 11.68 Mn |
| Sep 30, 2022 | 13.37 Mn |
| Jun 30, 2022 | 16.42 Mn |
| Mar 31, 2022 | 17.24 Mn |
| Dec 31, 2021 | 13.40 Mn |
| Sep 30, 2021 | 13.04 Mn |
API Access
Vivmark Residential Selling, General & Administrative 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=selling-general-and-administrative&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();