Vivmark Residential (VMRK) Receivables (2019 - 2025)
Vivmark Residential (VMRK) posted Receivables of $13.3 million for Q4 2025, down 0.64% on a QoQ basis from $13.4 million in Q3 2025, and down 12.18% year-over-year from $15.2 million in Q4 2024.
Vivmark Residential (VMRK) Receivables (2019 - 2025) Analysis & Trends
Vivmark Residential has reported Receivables for 7 years, with the latest figure at $13.3 million in Q4 2025.
- On a quarterly basis, Receivables fell 12.18% year-over-year to $13.3 million in Q4 2025; TTM through Dec 2025 was $13.3 million, a 12.18% decrease from a year earlier, with the FY2025 full-year figure at $13.3 million, down 12.18% from the prior year.
- Receivables was $13.3 million for Q4 2025 at Vivmark Residential, down from $13.4 million in the prior quarter.
- The five-year high for Receivables was $43.4 million in Q2 2021, with the low at $13.3 million in Q4 2025.
- Average Receivables over 5 years is $26.9 million, with a median of $26.3 million recorded in 2023.
- The sharpest annual moves came in 2021 and 2024: Receivables jumped 73.37% in 2021, then tumbled 42.92% in 2024.
- Over 5 years, Receivables stood at $35.7 million in 2021, then changed by 0.0% to $35.7 million in 2022, then sank by 39.82% to $21.5 million in 2023, then decreased by 29.45% to $15.2 million in 2024, then declined by 12.18% to $13.3 million in 2025.
- The last three Receivables figures came in at $13.3 million (Q4 2025), $13.4 million (Q3 2025), and $13.9 million (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 3.24 Bn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 934.08 Mn |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 1.31 Bn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | - |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 108.05 Mn |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 114.68 Mn |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 99.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 13.31 Mn |
| Sep 30, 2025 | 13.39 Mn |
| Jun 30, 2025 | 13.90 Mn |
| Mar 31, 2025 | 14.37 Mn |
| Dec 31, 2024 | 15.15 Mn |
| Sep 30, 2024 | 16.28 Mn |
| Jun 30, 2024 | 16.66 Mn |
| Mar 31, 2024 | 18.71 Mn |
| Dec 31, 2023 | 21.48 Mn |
| Sep 30, 2023 | 25.53 Mn |
| Jun 30, 2023 | 27.10 Mn |
| Mar 31, 2023 | 32.78 Mn |
| Dec 31, 2022 | 35.69 Mn |
| Sep 30, 2022 | 34.94 Mn |
| Jun 30, 2022 | 36.07 Mn |
| Mar 31, 2022 | 43.27 Mn |
| Dec 31, 2021 | 35.69 Mn |
| Sep 30, 2021 | 42.13 Mn |
| Jun 30, 2021 | 43.42 Mn |
| Mar 31, 2021 | 37.25 Mn |
Vivmark Residential Receivables 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=receivables&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();