Noodles (NDLS) Other Non-Current Assets (2013 - 2026)
Noodles (NDLS) posted Other Non-Current Assets of $1.08 million for Q2 2026, down 30.8% from $1.56 million a year earlier and down 19.4% from the prior quarter.
Noodles (NDLS) Other Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles' Other Non-Current Assets came in at $1.53 million, down 12.8% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- In prior years, Noodles' Other Non-Current Assets was $1.75 million in FY2024 (+0.2%), $1.75 million in FY2023 and $3.36 million in FY2021 (-3.2%).
- The Q2 2026 figure stands as the lowest quarterly Other Non-Current Assets in data going back to Q4 2012.
- On a year-over-year basis, Other Non-Current Assets has declined in each of the last six quarters, with an average decline of 13.9% over the last seven quarters.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q3 2021, with growth of 12.1%; the weakest was Q2 2026, with a decline of 30.8%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $1.34 million (Q1 2026), $1.53 million (Q4 2025) and $1.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 12.64 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 857.20 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 134.03 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 1.63 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 1.36 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 433.20 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.36 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 374.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 179.97 Mn |
| 10 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn | 1.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Mn |
| Mar 31, 2026 | 1.34 Mn |
| Dec 30, 2025 | 1.53 Mn |
| Sep 30, 2025 | 1.56 Mn |
| Jul 1, 2025 | 1.56 Mn |
| Apr 1, 2025 | 1.69 Mn |
| Dec 31, 2024 | 1.75 Mn |
| Oct 1, 2024 | 1.75 Mn |
| Jul 2, 2024 | 1.79 Mn |
| Apr 2, 2024 | 1.86 Mn |
| Jan 2, 2024 | 1.75 Mn |
| Oct 3, 2023 | 1.68 Mn |
| Jul 4, 2023 | 1.77 Mn |
| Apr 4, 2023 | 1.70 Mn |
| Jan 3, 2023 | 1.67 Mn |
| Sep 27, 2022 | 1.34 Mn |
| Jun 28, 2022 | 1.31 Mn |
| Mar 29, 2022 | 1.52 Mn |
| Dec 28, 2021 | 3.36 Mn |
| Sep 28, 2021 | 3.44 Mn |
Noodles Other Non-Current Assets 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=other-non-current-assets&ticker=NDLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();