Noodles (NDLS) Current Assets (2013 - 2026)
Noodles (NDLS) recorded Current Assets of $18.52 million in Q2 2026, down 12.9% from $21.27 million a year earlier but up 2.6% from the prior quarter.
Analysis
Noodles (NDLS) Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles reported Current Assets of $18.89 million, down 6.4% from FY2024.
- Annual Current Assets has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $20.19 million in FY2024 (-10.7%), $22.62 million in FY2023 and $22.56 million in FY2021 (-4.9%).
- Quarterly Current Assets has ranged from $18.06 million in Q1 2026 to $23.82 million in Q3 2025 over the past five years.
- On a year-over-year basis, Current Assets has declined for three consecutive quarters, with an average decline of 7.6% over the last seven quarters.
- Peak year-over-year performance for Current Assets in the last five years was growth of 1.8% in Q3 2025, against a decline of 16.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.06 million (Q1 2026), $18.89 million (Q4 2025) and $23.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 4.35 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 7.53 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 940.74 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 2.54 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.34 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 942.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.34 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.35 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 361.90 Mn |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 18.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.52 Mn |
| Mar 31, 2026 | 18.06 Mn |
| Dec 30, 2025 | 18.89 Mn |
| Sep 30, 2025 | 23.82 Mn |
| Jul 1, 2025 | 21.27 Mn |
| Apr 1, 2025 | 20.51 Mn |
| Dec 31, 2024 | 20.19 Mn |
| Oct 1, 2024 | 23.41 Mn |
| Jul 2, 2024 | 22.49 Mn |
| Apr 2, 2024 | 22.24 Mn |
| Jan 2, 2024 | 22.62 Mn |
| Oct 3, 2023 | 22.77 Mn |
| Jul 4, 2023 | 23.82 Mn |
| Apr 4, 2023 | 21.09 Mn |
| Jan 3, 2023 | 21.64 Mn |
| Sep 27, 2022 | 21.65 Mn |
| Jun 28, 2022 | 20.50 Mn |
| Mar 29, 2022 | 19.63 Mn |
| Dec 28, 2021 | 22.56 Mn |
| Sep 28, 2021 | 21.46 Mn |
API Access
Noodles 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=current-assets&ticker=NDLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();