Consolidated Water (CWCO) Exchange Rate Effect (2012 - 2016)
Consolidated Water (CWCO) reported Exchange Rate Effect of $806.00 for FY2016, compared with -$3,253 in FY2015.
Analysis
Consolidated Water (CWCO) Exchange Rate Effect (2012 - 2016) Analysis & Trends
Dating back to FY2012, Consolidated Water's Exchange Rate Effect record includes 5 years.
- The FY2016 figure ranks as the highest annual Exchange Rate Effect since FY2013.
- According to Business Quant data, Exchange Rate Effect came in at -$3,253 in FY2015, $760.00 in FY2014 (-99.8%), $364,000 in FY2013 and -$16,210 in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Enel Chile | 293.96 Bn | 293.96 Bn | 890.00 Mn | - |
| 2 | National Grid | 78.23 Bn | 59.76 Bn | - | - |
| 3 | Dominion Energy | 53.03 Bn | 55.71 Bn | - | - |
| 4 | Xcel Energy | 43.33 Bn | 38.23 Bn | - | - |
| 5 | Wec Energy | 33.06 Bn | 33.29 Bn | 1.51 Bn | - |
| 6 | Ameren | 27.51 Bn | 27.60 Bn | - | - |
| 7 | Fortis | 26.94 Bn | 27.43 Bn | 1.60 Bn | 11.57 Mn |
| 8 | Atmos Energy | 26.53 Bn | 25.30 Bn | 870.85 Mn | - |
| 9 | American Water Works Company | 25.62 Bn | 25.03 Bn | - | - |
| 10 | Consolidated Water | 440.49 Mn | -60.46 Mn | 10.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 168.00 |
| Jun 30, 2016 | -9.00 |
| Mar 31, 2016 | 647.00 |
| Dec 31, 2015 | 1,137.00 |
| Sep 30, 2015 | 37,567.00 |
| Jun 30, 2015 | -86,913.00 |
| Mar 31, 2015 | 44,956.00 |
| Dec 31, 2014 | 38,873.00 |
| Sep 30, 2014 | -37,108.00 |
| Jun 30, 2014 | -65,108.00 |
| Mar 31, 2014 | 64,103.00 |
| Dec 31, 2013 | 556,574.00 |
| Sep 30, 2013 | -171,157.00 |
| Jun 30, 2013 | -16,244.00 |
| Mar 31, 2013 | -5,173.00 |
| Dec 31, 2012 | -9,952.00 |
API Access
Consolidated Water 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=CWCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CWCO", "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=CWCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();