Noodles (NDLS) Total Liabilities (2013 - 2026)
Noodles (NDLS) reported Total Liabilities of $286.79 million for Q2 2026, down 11.9% from $325.35 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Noodles (NDLS) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles posted Total Liabilities of $306.98 million, down 7.0% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- By year, Total Liabilities came in at $330.23 million in FY2024 (-3.1%), $340.94 million in FY2023 and $303.83 million in FY2021 (-6.2%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q4 2018.
- Year over year, Total Liabilities has now declined in each of the last seven quarters, with an average decline of 6.2% over the last seven quarters.
- Across the past five years, year-over-year decline in Total Liabilities ran from 1.5% in Q1 2025 to 11.9% in Q2 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at $294.36 million (Q1 2026), $306.98 million (Q4 2025) and $319.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 2.09 Bn |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 286.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 286.79 Mn |
| Mar 31, 2026 | 294.36 Mn |
| Dec 30, 2025 | 306.98 Mn |
| Sep 30, 2025 | 319.47 Mn |
| Jul 1, 2025 | 325.35 Mn |
| Apr 1, 2025 | 333.36 Mn |
| Dec 31, 2024 | 330.23 Mn |
| Oct 1, 2024 | 336.80 Mn |
| Jul 2, 2024 | 336.65 Mn |
| Apr 2, 2024 | 338.47 Mn |
| Jan 2, 2024 | 340.94 Mn |
| Oct 3, 2023 | 336.32 Mn |
| Jul 4, 2023 | 321.49 Mn |
| Apr 4, 2023 | 313.11 Mn |
| Jan 3, 2023 | 305.48 Mn |
| Sep 27, 2022 | 306.87 Mn |
| Jun 28, 2022 | 303.69 Mn |
| Mar 29, 2022 | 305.73 Mn |
| Dec 28, 2021 | 303.83 Mn |
| Sep 28, 2021 | 303.40 Mn |
API Access
Noodles Total 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-liabilities&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();