Noodles (NDLS) Rent Expense (2012 - 2019)
Noodles posted quarterly Rent Expense of $11.7 million for Q4 2019, down 5.81% on a QoQ basis from $12.4 million in Q2 2019.
Noodles (NDLS) has 8 years of Rent Expense data on file, last reported at $11.7 million in Q4 2019.
- For the quarter ending Q4 2019, Rent Expense changed N/A year-over-year to $11.7 million; the trailing twelve-month figure through Dec 2019 stood at $48.5 million (changed N/A YoY), and the FY2019 full-year result was $48.9 million, changed 0.32% from the prior year.
- Rent Expense for Q4 2019 stood at $11.7 million, down from $12.4 million in the prior quarter.
- Across five years, Rent Expense topped out at $15.1 million in Q1 2017 and bottomed at $11.7 million in Q4 2019.
- The 5-year median for Rent Expense is $12.7 million (2015), against an average of $12.9 million.
- The widest annual swing landed in 2015, when Rent Expense climbed 23.85%; it then dropped 17.07% in 2018.
- A 5-year view of Rent Expense shows it stood at $12.7 million in 2015, then climbed by 8.68% to $13.8 million in 2016, then declined by 7.85% to $12.7 million in 2017, then decreased by 5.3% to $12.0 million in 2018, then decreased by 2.72% to $11.7 million in 2019.
- The last three Rent Expense figures came in at $11.7 million (Q4 2019), $12.4 million (Q2 2019), and $12.0 million (Q4 2018), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Starbucks | 110.27 Bn | 108.58 Bn | 9.40 Bn | - |
| 2 | Yum Brands | 40.90 Bn | 40.21 Bn | 1.38 Bn | - |
| 3 | Chipotle Mexican Grill | 39.62 Bn | 38.75 Bn | 2.61 Bn | 169.88 Mn |
| 4 | Restaurant Brands International | 25.25 Bn | 25.79 Bn | 2.14 Bn | - |
| 5 | Darden Restaurants | 23.41 Bn | 23.17 Bn | 3.31 Bn | - |
| 6 | Yum China Holdings | 15.07 Bn | 13.64 Bn | 3.24 Bn | - |
| 7 | Texas Roadhouse | 11.59 Bn | 11.39 Bn | 1.40 Bn | - |
| 8 | Dominos Pizza | 10.51 Bn | 10.27 Bn | 464.51 Mn | - |
| 9 | Cava | 8.67 Bn | 8.28 Bn | 797.57 Mn | 20.85 Mn |
| 10 | Noodles | 73.79 Mn | 72.35 Mn | 98.07 Mn | - |
Historic Data
Download Data| Date | Value |
|---|---|
| Dec 31, 2019 | 11.71 Mn |
| Dec 31, 2019 | 11.71 Mn |
| Apr 2, 2019 | 12.43 Mn |
| Apr 2, 2019 | 12.43 Mn |
| Oct 2, 2018 | 12.04 Mn |
| Oct 2, 2018 | 12.04 Mn |
| Jul 3, 2018 | 12.36 Mn |
| Jul 3, 2018 | 12.36 Mn |
| Apr 3, 2018 | 12.76 Mn |
| Apr 3, 2018 | 12.76 Mn |
| Jan 2, 2018 | 12.54 Mn |
| Jan 2, 2018 | 12.54 Mn |
| Oct 3, 2017 | 12.71 Mn |
| Oct 3, 2017 | 12.71 Mn |
| Jul 4, 2017 | 12.63 Mn |
| Jul 4, 2017 | 12.63 Mn |
| Apr 4, 2017 | 14.00 Mn |
| Apr 4, 2017 | 14.00 Mn |
| Jan 3, 2017 | 15.12 Mn |
| Jan 3, 2017 | 15.12 Mn |
| Sep 27, 2016 | 13.79 Mn |
| Sep 27, 2016 | 13.79 Mn |
| Jun 28, 2016 | 13.69 Mn |
| Jun 28, 2016 | 13.69 Mn |
| Mar 29, 2016 | 13.31 Mn |
| Mar 29, 2016 | 13.31 Mn |
| Dec 29, 2015 | 12.69 Mn |
| Dec 29, 2015 | 12.69 Mn |
| Sep 29, 2015 | 12.91 Mn |
| Sep 29, 2015 | 12.91 Mn |
| Jun 30, 2015 | 12.48 Mn |
| Jun 30, 2015 | 12.48 Mn |
| Mar 31, 2015 | 12.22 Mn |
| Mar 31, 2015 | 12.22 Mn |
| Dec 30, 2014 | 11.43 Mn |
| Dec 30, 2014 | 11.43 Mn |
| Sep 30, 2014 | 11.00 Mn |
| Sep 30, 2014 | 11.00 Mn |
| Jul 1, 2014 | 10.25 Mn |
| Jul 1, 2014 | 10.25 Mn |
| Apr 1, 2014 | 9.87 Mn |
| Apr 1, 2014 | 9.87 Mn |
| Dec 31, 2013 | 9.35 Mn |
| Dec 31, 2013 | 9.35 Mn |
| Oct 1, 2013 | 8.87 Mn |
| Oct 1, 2013 | 8.87 Mn |
| Jul 2, 2013 | 8.60 Mn |
| Jul 2, 2013 | 8.60 Mn |
| Apr 2, 2013 | 8.36 Mn |
| Apr 2, 2013 | 8.36 Mn |
| Oct 2, 2012 | 7.47 Mn |
| Oct 2, 2012 | 7.47 Mn |
| Jul 3, 2012 | 7.27 Mn |
| Jul 3, 2012 | 7.27 Mn |