Noodles (NDLS) Total Non-Current Liabilities (2013 - 2026)
Noodles (NDLS) posted Total Non-Current Liabilities of $279.77 million for Q2 2026, down 11.2% from $315.19 million a year earlier and down 2.2% from the prior quarter.
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Analysis
Noodles (NDLS) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles' Total Non-Current Liabilities came in at $297.86 million, down 7.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Noodles' Total Non-Current Liabilities was $323.46 million in FY2024 (-3.2%), $334.27 million in FY2023 and $296.03 million in FY2021 (-4.4%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q4 2018.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last seven quarters, with an average decline of 6.9% over the last seven quarters.
- Across the past five years, year-over-year decline in Total Non-Current Liabilities ran from 3.0% in Q1 2025 to 11.3% in Q1 2026.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $286.13 million (Q1 2026), $297.86 million (Q4 2025) and $310.01 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 60.27 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 6.58 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 1.88 Bn |
| 10 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn | 279.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 279.77 Mn |
| Mar 31, 2026 | 286.13 Mn |
| Dec 30, 2025 | 297.86 Mn |
| Sep 30, 2025 | 310.01 Mn |
| Jul 1, 2025 | 315.19 Mn |
| Apr 1, 2025 | 322.47 Mn |
| Dec 31, 2024 | 323.46 Mn |
| Oct 1, 2024 | 331.91 Mn |
| Jul 2, 2024 | 331.16 Mn |
| Apr 2, 2024 | 332.55 Mn |
| Jan 2, 2024 | 334.27 Mn |
| Oct 3, 2023 | 329.88 Mn |
| Jul 4, 2023 | 314.77 Mn |
| Apr 4, 2023 | 305.93 Mn |
| Jan 3, 2023 | 297.71 Mn |
| Sep 27, 2022 | 298.80 Mn |
| Jun 28, 2022 | 295.54 Mn |
| Mar 29, 2022 | 297.02 Mn |
| Dec 28, 2021 | 296.03 Mn |
| Sep 28, 2021 | 292.97 Mn |
API Access
Noodles Total Non-Current Liabilities 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-non-current-liabilities&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();