Rave Restaurant (RAVE) Total Non-Current Liabilities (2011 - 2021)
Rave Restaurant's Total Non-Current Liabilities was $7.61 million in fiscal Q4 2021 (quarter ended Jun 27, 2021), down 16.8% from $9.15 million a year earlier and down 1.0% from the prior quarter.
Rave Restaurant (RAVE) Total Non-Current Liabilities (2011 - 2021) Analysis & Trends
From fiscal Q4 2011 onward, Rave Restaurant has reported Total Non-Current Liabilities for 37 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.6% (FY2016 to FY2021).
- In earlier fiscal years, Total Non-Current Liabilities was $9.15 million in FY2020 (+63.6%), $5.6 million in FY2019 (+31.5%), $4.25 million in FY2018 (-58.3%) and $10.2 million in FY2017 (+38.0%).
- The fiscal Q4 2021 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2019.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 31.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q1 2020 (growth of 109.3%); the worst was fiscal Q3 2018 (a decline of 69.3%).
- Per Business Quant data, RAVE's Total Non-Current Liabilities in the three fiscal quarters before Q4 2021 was $7.69 million (Q3 2021), $8.42 million (Q2 2021) and $8.91 million (Q1 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 60.27 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 6.58 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 1.88 Bn |
| 10 | Rave Restaurant | 32.69 Mn | -14.38 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2021 | 7.61 Mn |
| Mar 28, 2021 | 7.69 Mn |
| Dec 27, 2020 | 8.42 Mn |
| Sep 27, 2020 | 8.91 Mn |
| Jun 28, 2020 | 9.15 Mn |
| Mar 29, 2020 | 8.78 Mn |
| Dec 29, 2019 | 8.17 Mn |
| Sep 29, 2019 | 8.65 Mn |
| Jun 30, 2019 | 5.60 Mn |
| Mar 24, 2019 | 5.48 Mn |
| Dec 23, 2018 | 5.70 Mn |
| Sep 23, 2018 | 4.13 Mn |
| Jun 24, 2018 | 4.25 Mn |
| Mar 25, 2018 | 3.49 Mn |
| Dec 24, 2017 | 4.22 Mn |
| Sep 24, 2017 | 9.39 Mn |
| Jun 25, 2017 | 10.20 Mn |
| Mar 26, 2017 | 11.39 Mn |
| Dec 25, 2016 | 10.40 Mn |
| Sep 25, 2016 | 8.33 Mn |
Rave Restaurant Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();