Dine Brands Global (DIN) Return on Equity [ROE] (2011 - 2017)
Dine Brands Global's Return on Equity [ROE] came in at -2230.89% for Q3 2017, down 2270.68 percentage points from 39.79% a year earlier and down 2265.66 percentage points from the prior quarter.
Dine Brands Global (DIN) Return on Equity [ROE] (2011 - 2017) Analysis & Trends
For FY2016, Dine Brands Global's Return on Equity [ROE] was 43.62%, up 5.20 percentage points from FY2015.
- Return on Equity [ROE] carries a five-year change of -19.36 percentage points (FY2011 to FY2016).
- Going back by year, Return on Equity [ROE] was 38.41% in FY2015 (+26.14 pp), 12.27% in FY2014 (-10.82 pp), 23.09% in FY2013 (-31.94 pp) and 55.03% in FY2012 (-7.95 pp).
- The Q3 2017 figure represents the lowest quarterly Return on Equity [ROE] in data going back to Q3 2011.
- Year-over-year, Return on Equity [ROE] increased in six of the last eight quarters, with an average year-over-year change of -272.09 percentage points.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q4 2015 (a gain of 26.46 percentage points), and the weakest in Q3 2017 (a drop of 2270.68 percentage points).
- Business Quant data shows DIN's Return on Equity [ROE] at 34.77% (Q2 2017), 41.27% (Q1 2017) and 44.65% (Q4 2016) in the three quarters before Q3 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | - |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 59.17% |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 36.05% |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 55.30% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 36.05% |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 17.31% |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 27.07% |
| 10 | Dine Brands Global | 428.34 Mn | 7.34 Mn | 84.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | -2,230.89% |
| Jun 30, 2017 | 34.77% |
| Mar 31, 2017 | 41.27% |
| Dec 31, 2016 | 44.65% |
| Sep 30, 2016 | 39.79% |
| Jun 30, 2016 | 39.49% |
| Mar 31, 2016 | 38.69% |
| Dec 31, 2015 | 38.68% |
| Sep 30, 2015 | 20.55% |
| Jun 30, 2015 | 18.20% |
| Mar 31, 2015 | 15.53% |
| Dec 31, 2014 | 12.22% |
| Sep 30, 2014 | 24.53% |
| Jun 30, 2014 | 24.45% |
| Mar 31, 2014 | 23.56% |
| Dec 31, 2013 | 23.05% |
| Sep 30, 2013 | 23.36% |
| Jun 30, 2013 | 36.17% |
| Mar 31, 2013 | 36.38% |
| Dec 31, 2012 | 43.14% |
Dine Brands Global Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "DIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-equity-%5Broe%5D&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();