Noodles (NDLS) Short term Debt (2013 - 2022)
Noodles' Short term Debt was $2.03 million in FY2021, up 80.5% from $1.13 million in FY2020.
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Analysis
Noodles (NDLS) Short term Debt (2013 - 2022) Analysis & Trends
From FY2012 onward, Noodles has reported Short term Debt for 5 years.
- Short term Debt has now increased for three consecutive years, with a three-year compound annual growth rate of 41.4% (FY2018 to FY2021).
- The FY2021 figure marks the highest annual Short term Debt in data going back to FY2012.
- Per Business Quant data, Short term Debt in earlier years was $1.13 million in FY2020 (+50.0%), $750,000 in FY2019 (+4.3%) and $719,000 in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 173.87 Bn | 168.70 Bn | 6.42 Bn |
| 2 | Starbucks | 111.79 Bn | 99.42 Bn | - |
| 3 | Yum Brands | 41.38 Bn | 38.27 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.62 Bn | 31.60 Bn | - |
| 5 | Restaurant Brands International | 25.77 Bn | 21.32 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.37 Bn | 23.46 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.41 Bn | 9.07 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.92 Bn | 10.26 Bn | - |
| 10 | Noodles | 75.81 Mn | 67.11 Mn | 90.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2022 | 1.81 Mn |
| Dec 28, 2021 | 2.03 Mn |
| Sep 28, 2021 | 1.50 Mn |
| Jun 29, 2021 | 1.50 Mn |
| Mar 30, 2021 | 1.13 Mn |
| Dec 29, 2020 | 1.13 Mn |
| Sep 29, 2020 | 938,000.00 |
| Jun 30, 2020 | 750,000.00 |
| Mar 31, 2020 | 750,000.00 |
| Dec 31, 2019 | 750,000.00 |
| Oct 1, 2019 | 1.13 Mn |
| Jul 2, 2019 | 938,000.00 |
| Apr 2, 2019 | 750,000.00 |
| Jan 1, 2019 | 719,000.00 |
| Oct 2, 2018 | 688,000.00 |
| Jul 3, 2018 | 656,000.00 |
| Jan 1, 2013 | 750,000.00 |
API Access
Noodles 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=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();