Noodles (NDLS) Current Debt (2016 - 2026)
Noodles' Current Debt came in at -$6.19 million for FY2025, compared with $1.82 million in FY2024.
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Analysis
Noodles (NDLS) Current Debt (2016 - 2026) Analysis & Trends
Going back to FY2012, Noodles' Current Debt data covers 8 years.
- The FY2025 figure represents the lowest annual Current Debt since FY2012.
- Per Business Quant, earlier years put Current Debt at $1.82 million in FY2024 and -$9,000 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 492.00 Mn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | - |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 325.00 Mn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | - |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 285.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 45.00 Mn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | - |
| 10 | Noodles | 82.60 Mn | 73.89 Mn | 90.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -399,000.00 |
| Sep 30, 2025 | -1.00 Mn |
| Jul 1, 2025 | 349,000.00 |
| Apr 1, 2025 | -5.94 Mn |
| Oct 1, 2024 | -560,000.00 |
| Jul 2, 2024 | -1.03 Mn |
| Apr 2, 2024 | -3.18 Mn |
| 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 |
| Apr 2, 2019 | 3.07 Mn |
| Jul 3, 2018 | -3.17 Mn |
| Apr 3, 2018 | 5.04 Mn |
| Jan 2, 2018 | -6.14 Mn |
| Oct 3, 2017 | -905,000.00 |
| Jul 4, 2017 | 7.14 Mn |
| Apr 4, 2017 | -197,000.00 |
API Access
Noodles Current 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=current-debt&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-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=current-debt&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();