Noodles (NDLS) Total Debt (2013 - 2026)
Noodles (NDLS) posted Total Debt of $104.41 million for Q2 2026, down 1.9% from $106.44 million a year earlier and down 1.1% from the prior quarter.
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Analysis
Noodles (NDLS) Total Debt (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles' Total Debt came in at $108.78 million, up 8.0% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- In prior years, Noodles' Total Debt was $100.74 million in FY2024 (+25.6%), $80.22 million in FY2023 and $20.96 million in FY2021 (-50.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Debt since Q1 2025.
- On a year-over-year basis, Total Debt increased in six of the last seven quarters, with growth averaging 15.5%.
- The strongest year-over-year quarter for Total Debt in the past five years was Q4 2024, with growth of 25.6%; the weakest was Q4 2021, with a decline of 50.2%.
- According to Business Quant data, Total Debt for the three prior quarters was $105.6 million (Q1 2026), $108.78 million (Q4 2025) and $108.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 13.28 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 12.28 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 13.29 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 693.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.29 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 66.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 50.00 Mn |
| 10 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn | 104.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.41 Mn |
| Mar 31, 2026 | 105.60 Mn |
| Dec 30, 2025 | 108.78 Mn |
| Sep 30, 2025 | 108.16 Mn |
| Jul 1, 2025 | 106.44 Mn |
| Apr 1, 2025 | 100.62 Mn |
| Dec 31, 2024 | 100.74 Mn |
| Oct 1, 2024 | 88.36 Mn |
| Jul 2, 2024 | 84.78 Mn |
| Apr 2, 2024 | 81.18 Mn |
| Jan 2, 2024 | 80.22 Mn |
| Oct 3, 2023 | 64.04 Mn |
| Jul 4, 2023 | 63.20 Mn |
| Apr 4, 2023 | 51.22 Mn |
| Jan 3, 2023 | 46.05 Mn |
| Sep 27, 2022 | 36.14 Mn |
| Jun 28, 2022 | 31.14 Mn |
| Mar 29, 2022 | 34.12 Mn |
| Dec 28, 2021 | 20.96 Mn |
| Sep 28, 2021 | 22.29 Mn |
API Access
Noodles Total 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=total-debt&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();