Noodles (NDLS) Total Current Liabilities (2013 - 2026)
Noodles (NDLS) posted Total Current Liabilities of $62.97 million for Q2 2026, down 7.9% from $68.37 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Noodles (NDLS) Total Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles' Total Current Liabilities came in at $61.85 million, down 5.9% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In prior years, Noodles' Total Current Liabilities was $65.72 million in FY2024 (-2.7%), $67.51 million in FY2023 and $76.58 million in FY2021 (+31.7%).
- Quarterly Total Current Liabilities has run from a low of $61.85 million in Q4 2025 to a high of $76.58 million in Q4 2021 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last seven quarters, with an average decline of 5.6% over the last seven quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2021, with growth of 31.7%; the weakest was Q1 2026, with a decline of 8.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $64.35 million (Q1 2026), $61.85 million (Q4 2025) and $70.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 9.92 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.32 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 4.29 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 3.01 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 790.79 Mn |
| 10 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn | 62.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.97 Mn |
| Mar 31, 2026 | 64.35 Mn |
| Dec 30, 2025 | 61.85 Mn |
| Sep 30, 2025 | 70.65 Mn |
| Jul 1, 2025 | 68.37 Mn |
| Apr 1, 2025 | 70.11 Mn |
| Dec 31, 2024 | 65.72 Mn |
| Oct 1, 2024 | 76.22 Mn |
| Jul 2, 2024 | 71.33 Mn |
| Apr 2, 2024 | 72.51 Mn |
| Jan 2, 2024 | 67.51 Mn |
| Oct 3, 2023 | 75.59 Mn |
| Jul 4, 2023 | 64.54 Mn |
| Apr 4, 2023 | 67.97 Mn |
| Jan 3, 2023 | 64.11 Mn |
| Sep 27, 2022 | 66.46 Mn |
| Jun 28, 2022 | 69.97 Mn |
| Mar 29, 2022 | 67.61 Mn |
| Dec 28, 2021 | 76.58 Mn |
| Sep 28, 2021 | 68.31 Mn |
API Access
Noodles Total 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-current-liabilities&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();