Noodles (NDLS) Long-Term Debt Repayments (2013 - 2026)
Noodles' Long-Term Debt Repayments came in at $3.3 million for Q2 2026, up 650.0% from $440,000 a year earlier and up 10.0% from the prior quarter.
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Analysis
Noodles (NDLS) Long-Term Debt Repayments (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Noodles reported Long-Term Debt Repayments of $7.15 million, up 231.1% year-over-year; for FY2025, it was $1.77 million, down 27.4% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -49.6% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $2.44 million in FY2024 (+2.7%), $2.38 million in FY2023 and $21.56 million in FY2021 (-60.3%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q3 2021.
- Year-over-year, Long-Term Debt Repayments increased in two of the last six quarters, with growth averaging 178.1%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q4 2021 (growth of 664.9%), and the weakest in Q3 2021 (a decline of 70.9%).
- Business Quant data shows NDLS's Long-Term Debt Repayments at $3 million (Q1 2026), $430,000 (Q4 2025) and $424,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | - |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | - |
| 10 | Noodles | 82.60 Mn | 73.89 Mn | 90.30 Mn | 3.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.70 Mn |
| Mar 31, 2026 | 3.28 Mn |
| Dec 30, 2025 | 430,000.00 |
| Sep 30, 2025 | 424,000.00 |
| Jul 1, 2025 | 440,000.00 |
| Apr 1, 2025 | 478,000.00 |
| Dec 31, 2024 | 608,000.00 |
| Oct 1, 2024 | 635,000.00 |
| Jul 2, 2024 | 602,000.00 |
| Apr 2, 2024 | 596,000.00 |
| Jan 2, 2024 | -31.92 Mn |
| Apr 4, 2023 | 679,000.00 |
| Sep 27, 2022 | 32.17 Mn |
| Jun 28, 2022 | 872,000.00 |
| Mar 29, 2022 | 1.26 Mn |
| Dec 28, 2021 | 1.93 Mn |
| Sep 28, 2021 | 15.54 Mn |
| Jun 29, 2021 | 573,000.00 |
| Mar 30, 2021 | 5.43 Mn |
| Dec 29, 2020 | 582,000.00 |
API Access
Noodles Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();