Dine Brands Global (DIN) Change in Inventory (2010 - 2012)
Dine Brands Global's Change in Inventory came in at $522,000 for Q2 2012, down 22.7% from $675,000 a year earlier.
Dine Brands Global (DIN) Change in Inventory (2010 - 2012) Analysis & Trends
Over the trailing twelve months to Jun 30, 2012, Dine Brands Global reported Change in Inventory of $3 million, up 91.7% year-over-year; for FY2011, it came in at $3.72 million.
- Going back by year, Change in Inventory was $263,000 in FY2010 (-82.2%) and $1.47 million in FY2009.
- The five-year range for quarterly Change in Inventory is -$197,000 (Q1 2012) to $2.52 million (Q4 2011).
- Business Quant data shows DIN's Change in Inventory at -$197,000 (Q1 2012), $2.52 million (Q4 2011) and $149,000 (Q3 2011) in the three quarters before Q2 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 54.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.97 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | -19.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 38.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 3.64 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2012 | 522,000.00 |
| Mar 31, 2012 | -197,000.00 |
| Dec 31, 2011 | 2.52 Mn |
| Sep 30, 2011 | 149,000.00 |
| Jun 30, 2011 | 675,000.00 |
| Mar 31, 2011 | 378,000.00 |
| Dec 31, 2010 | 489,000.00 |
| Sep 30, 2010 | 20,000.00 |
Dine Brands Global Change in Inventory 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=change-in-inventory&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();