Vivmark Residential (VMRK) Exchange Rate Effect (2012 - 2024)
Vivmark Residential (VMRK) posted Exchange Rate Effect of -$4.0 million for Q3 2024, down 967.17% on a QoQ basis from $460000.0 in Q3 2023, and down 967.17% year-over-year from $460000.0 in Q4 2023.
Vivmark Residential (VMRK) Exchange Rate Effect (2012 - 2024) Analysis & Trends
Vivmark Residential has reported Exchange Rate Effect for 7 years, with the latest figure at -$4.0 million in Q3 2024.
- On a quarterly basis, Exchange Rate Effect fell 967.17% year-over-year to -$4.0 million in Q3 2024; TTM through Sep 2024 was -$7.6 million, a 4.43% increase from a year earlier, with the FY2016 full-year figure at -$41.8 million, down 128.89% from the prior year.
- Exchange Rate Effect was -$4.0 million for Q3 2024 at Vivmark Residential, down from $460000.0 in the prior quarter.
- The five-year high for Exchange Rate Effect was $460000.0 in Q2 2023, with the low at -$4.0 million in Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 5.66 Mn |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | - |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | - |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | -1.63 Mn |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | - |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | -846,000.00 |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | -210,000.00 |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -3.99 Mn |
| Sep 30, 2023 | 460,000.00 |
| Jun 30, 2023 | 460,000.00 |
| Dec 31, 2016 | -4.50 Mn |
| Sep 30, 2016 | -4.34 Mn |
| Jun 30, 2016 | -4.27 Mn |
| Mar 31, 2016 | -28.65 Mn |
| Dec 31, 2015 | -4.60 Mn |
| Sep 30, 2015 | -4.74 Mn |
| Jun 30, 2015 | -4.57 Mn |
| Mar 31, 2015 | -4.34 Mn |
| Dec 31, 2014 | -4.26 Mn |
| Sep 30, 2014 | -4.27 Mn |
| Jun 30, 2014 | -4.21 Mn |
| Mar 31, 2014 | -4.13 Mn |
| Dec 31, 2013 | -4.06 Mn |
| Sep 30, 2013 | -3.99 Mn |
| Jun 30, 2013 | -3.83 Mn |
| Mar 31, 2013 | -8.27 Mn |
| Dec 31, 2012 | -3.77 Mn |
Vivmark Residential Exchange Rate Effect 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=exchange-rate-effect&ticker=VMRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();