Rmr (RMR) Exchange Rate Effect (2014 - 2019)
Rmr's Exchange Rate Effect was -$85,000 in FY2019 (year ended Sep 30, 2019), compared with -$6,000 in FY2018.
Analysis
Rmr (RMR) Exchange Rate Effect (2014 - 2019) Analysis & Trends
From FY2014 onward, Rmr has reported Exchange Rate Effect for 6 fiscal years.
- The FY2019 figure marks the lowest annual Exchange Rate Effect since FY2014.
- Per Business Quant data, Exchange Rate Effect in earlier fiscal years was -$6,000 in FY2018, -$1,000 in FY2017, $23,000 in FY2016 and -$35,000 in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | -886,741.86 |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | -3.00 Mn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | -8.50 Mn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 1.43 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | -2.80 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | -140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | -932,000.00 |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -87,000.00 |
| Dec 31, 2018 | 2,000.00 |
| Sep 30, 2018 | -1,000.00 |
| Jun 30, 2018 | -3,000.00 |
| Mar 31, 2018 | -2,000.00 |
| Mar 31, 2017 | 9,000.00 |
| Dec 31, 2016 | -10,000.00 |
| Sep 30, 2016 | 10,000.00 |
| Jun 30, 2016 | -3,000.00 |
| Mar 31, 2016 | 6,000.00 |
| Dec 31, 2015 | 10,000.00 |
| Sep 30, 2015 | -47,000.00 |
| Jun 30, 2015 | 290,000.00 |
| Mar 31, 2015 | -133,000.00 |
| Dec 31, 2014 | -145,000.00 |
API Access
Rmr 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=RMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "RMR", "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=RMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();