Noodles (NDLS) Short-Term Debt issuances (2022 - 2023)
Noodles (NDLS) reported Short-Term Debt issuances of $3.4 million for Q2 2024, compared with -$2.69 million a year earlier and up 490.6% from the prior quarter.
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Analysis
Noodles (NDLS) Short-Term Debt issuances (2022 - 2023) Analysis & Trends
Over the twelve months ended Jul 4, 2023, Noodles' Short-Term Debt issuances came in at $8.24 million; for FY2023, it was $4.78 million.
- Five-year quarterly Short-Term Debt issuances spans a low of -$2.69 million in Q2 2023 and a high of $4.46 million in Q3 2023.
- Per Business Quant data, the three quarters before Q2 2024 came in at $575,000 (Q1 2024), -$186,000 (Q4 2023) and $4.46 million (Q3 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 178.71 Bn | 173.54 Bn | 6.42 Bn | - |
| 2 | Starbucks | 116.18 Bn | 103.81 Bn | - | - |
| 3 | Yum Brands | 42.13 Bn | 39.01 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 35.58 Bn | 31.56 Bn | - | - |
| 5 | Restaurant Brands International | 26.69 Bn | 23.79 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.61 Bn | 23.71 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.44 Bn | 9.80 Bn | 537.00 Mn | 45.00 Mn |
| 9 | Texas Roadhouse | 11.33 Bn | 10.69 Bn | - | - |
| 10 | Noodles | 71.06 Mn | 62.36 Mn | 90.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2023 | 3.40 Mn |
| Apr 4, 2023 | 575,000.00 |
| Jan 3, 2023 | -186,000.00 |
| Sep 27, 2022 | 4.46 Mn |
| Jun 28, 2022 | -2.69 Mn |
| Mar 29, 2022 | 3.20 Mn |
API Access
Noodles Short-Term Debt issuances 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-issuances&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-issuances", "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-issuances&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();