Valaris Ltd (VAL) Payout Ratio (2009 - 2017)
Valaris' (VAL) Payout Ratio stood at 0.25 in Q2 2017.
Analysis
Valaris Ltd (VAL) Payout Ratio (2009 - 2017) Analysis & Trends
For FY2016, Valaris' Payout Ratio came in at 0.01.
- Across earlier years, Payout Ratio came in at 0.37 in FY2013 (+24.6%) and 0.30 in FY2012 (-38.9%).
- The Q2 2017 figure is the highest quarterly Payout Ratio since Q1 2014.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 0.25 |
| Mar 31, 2017 | 0.02 |
| Dec 31, 2016 | 0.01 |
| Mar 31, 2014 | 0.42 |
| Dec 31, 2013 | 0.37 |
| Sep 30, 2013 | 0.35 |
| Jun 30, 2013 | 0.33 |
| Mar 31, 2013 | 0.31 |
| Dec 31, 2012 | 0.30 |
| Sep 30, 2012 | 0.29 |
| Jun 30, 2012 | 0.33 |
| Mar 31, 2012 | 0.41 |
| Dec 31, 2011 | 0.49 |
| Sep 30, 2011 | 0.53 |
| Jun 30, 2011 | 0.54 |
| Mar 31, 2011 | 0.45 |
| Dec 31, 2010 | 0.27 |
| Sep 30, 2010 | 0.17 |
| Jun 30, 2010 | 0.09 |
| Mar 31, 2010 | 0.02 |
API Access
Valaris Ltd Payout Ratio 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=payout-ratio&ticker=VAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "ticker": "VAL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=payout-ratio&ticker=VAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();