Interface (TILE) Dividend Yield (2012 - 2013)
Interface's Dividend Yield came in at 0.99% for Q3 2013, up 0.35 percentage points from 0.64% a year earlier but down 0.13 percentage points from the prior quarter.
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Analysis
Interface (TILE) Dividend Yield (2012 - 2013) Analysis & Trends
For FY2012, Interface's Dividend Yield was 1.14%, up 0.45 percentage points from FY2011.
- Going back by year, Dividend Yield was 0.69% in FY2011 and 0.13% in FY2010.
- The five-year range for quarterly Dividend Yield is 0.49% (Q1 2012) to 1.14% (Q4 2012).
- Year-over-year, Dividend Yield has increased for three consecutive quarters.
- Business Quant data shows TILE's Dividend Yield at 1.12% (Q2 2013), 0.96% (Q1 2013) and 1.14% (Q4 2012) in the three quarters before Q3 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn |
| 10 | Interface | 2.02 Bn | 1.62 Bn | 178.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2013 | 0.99% |
| Jun 30, 2013 | 1.12% |
| Mar 31, 2013 | 0.96% |
| Dec 30, 2012 | 1.14% |
| Sep 30, 2012 | 0.64% |
| Jul 1, 2012 | 0.58% |
| Apr 1, 2012 | 0.49% |
API Access
Interface Dividend Yield 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=dividend-yield&ticker=TILE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividend-yield", "ticker": "TILE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=dividend-yield&ticker=TILE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();