Rave Restaurant (RAVE) Net Long-Term Debt Issued (Repaid) (2010 - 2017)
Rave Restaurant (RAVE) reported Non-Current Debt of -$1 million for FY2018 (year ended Jun 24, 2018).
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Analysis
Rave Restaurant (RAVE) Net Long-Term Debt Issued (Repaid) (2010 - 2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | -580.00 Mn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | -1.82 Bn |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | - |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | -6.00 Mn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | -29.00 Mn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | -5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | -29.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | - |
| 10 | Rave Restaurant | 30.16 Mn | -16.91 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 25, 2017 | 12,000.00 |
| Mar 26, 2017 | 3.88 Mn |
| Sep 28, 2014 | 767,000.00 |
| Jun 29, 2014 | 358,000.00 |
| Mar 30, 2014 | 381,000.00 |
| Dec 28, 2013 | 1.69 Mn |
| Sep 29, 2013 | -669,000.00 |
| Jun 30, 2013 | -125,000.00 |
| Mar 24, 2013 | 902,713.00 |
| Dec 23, 2012 | 725.00 |
| Sep 23, 2012 | 4,562.00 |
| Jun 24, 2012 | 119.00 |
| Mar 25, 2012 | 1,636.00 |
| Dec 25, 2011 | 825.00 |
| Sep 25, 2011 | 83.00 |
| Jun 26, 2011 | 104.00 |
| Mar 27, 2011 | 45.00 |
| Dec 26, 2010 | 342.00 |
| Sep 26, 2010 | 273.00 |
API Access
Rave Restaurant Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=RAVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();