Rave Restaurant (RAVE) Short term Debt (2011 - 2014)
Rave Restaurant (RAVE) reported Short term Debt of $500,000 for fiscal Q4 2014 (quarter ended Jun 29, 2014), down 25.3% from $669,000 a year earlier but up 33.3% from the prior quarter.
Rave Restaurant (RAVE) Short term Debt (2011 - 2014) Analysis & Trends
Dating back to fiscal Q4 2011, Rave Restaurant's Short term Debt record includes 12 quarters.
- Short term Debt has a three-year compound annual growth rate of 1045.1% (FY2011 to FY2014).
- By fiscal year, Short term Debt came in at $669,000 in FY2013, $765.00 in FY2012 (+129.7%) and $333.00 in FY2011.
- Five-year quarterly Short term Debt spans a low of $181.00 in fiscal Q1 2014 and a high of $669,000 in fiscal Q4 2013.
- Year over year, Short term Debt gained in 1 of the last five quarters, with an average decline of 15.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 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 |
| 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 |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Rave Restaurant | 32.69 Mn | -14.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 29, 2014 | 500,000.00 |
| Mar 30, 2014 | 375,000.00 |
| Sep 29, 2013 | 181.00 |
| Jun 30, 2013 | 669,000.00 |
| Mar 24, 2013 | 556.00 |
| Dec 23, 2012 | 556.00 |
| Sep 23, 2012 | 465.00 |
| Jun 24, 2012 | 765.00 |
| Mar 25, 2012 | 765.00 |
| Dec 25, 2011 | 580.00 |
| Sep 25, 2011 | 333.00 |
| Jun 26, 2011 | 333.00 |
Rave Restaurant Short term Debt 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=short-term-debt&ticker=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "RAVE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();