Noodles (NDLS) Change in Other Operating Liabilities (2013 - 2019)
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Analysis
Noodles (NDLS) Change in Other Operating Liabilities (2013 - 2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 178.84 Bn | 173.66 Bn | 6.42 Bn | - |
| 2 | Starbucks | 115.91 Bn | 103.53 Bn | - | -454.60 Mn |
| 3 | Yum Brands | 42.35 Bn | 39.23 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 35.66 Bn | 31.64 Bn | - | -49.21 Mn |
| 5 | Restaurant Brands International | 26.55 Bn | 22.11 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.69 Bn | 23.79 Bn | 1.68 Bn | -110.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.53 Bn | 9.19 Bn | 537.00 Mn | -85.00 Mn |
| 9 | Texas Roadhouse | 11.32 Bn | 10.66 Bn | - | -6.65 Mn |
| 10 | Noodles | 69.94 Mn | 61.24 Mn | 90.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 1.28 Mn |
| Apr 2, 2019 | 15,000.00 |
| Jan 1, 2019 | -2.91 Mn |
| Oct 2, 2018 | -303,000.00 |
| Jul 3, 2018 | -687,000.00 |
| Apr 3, 2018 | -288,000.00 |
| Oct 3, 2017 | 38,000.00 |
| Jul 4, 2017 | 800,000.00 |
| Apr 4, 2017 | 679,000.00 |
| Jan 3, 2017 | 848,000.00 |
| Sep 27, 2016 | 1.65 Mn |
| Jun 28, 2016 | 1.23 Mn |
| Mar 29, 2016 | 1.60 Mn |
| Dec 29, 2015 | 2.12 Mn |
| Sep 29, 2015 | 1.71 Mn |
| Jun 30, 2015 | 1.68 Mn |
| Mar 31, 2015 | 1.65 Mn |
| Dec 30, 2014 | 1.73 Mn |
| Sep 30, 2014 | 1.86 Mn |
| Jul 1, 2014 | 4.19 Mn |
API Access
Noodles Change in Other Operating 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=change-in-other-operating-liabilities&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "ticker": "NDLS", "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-other-operating-liabilities&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();