Noodles (NDLS) Prepaid Assets (2013 - 2026)
Noodles (NDLS) posted Prepaid Assets of $2.8 million for Q2 2026, down 34.0% from $4.25 million a year earlier but up 15.3% from the prior quarter.
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Analysis
Noodles (NDLS) Prepaid Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles' Prepaid Assets came in at $3.03 million, down 27.0% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior years, Noodles' Prepaid Assets was $4.16 million in FY2024 (+7.1%), $3.88 million in FY2023 and $6.84 million in FY2021 (+147.8%).
- Quarterly Prepaid Assets has run from a low of $2.43 million in Q1 2026 to a high of $6.84 million in Q4 2021 over five years.
- On a year-over-year basis, Prepaid Assets has declined in each of the last six quarters, with an average decline of 24.6% over the last seven quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q4 2021, with growth of 147.8%; the weakest was Q1 2025, with a decline of 41.0%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $2.43 million (Q1 2026), $3.03 million (Q4 2025) and $4.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.80 Mn |
| Mar 31, 2026 | 2.43 Mn |
| Dec 30, 2025 | 3.03 Mn |
| Sep 30, 2025 | 4.27 Mn |
| Jul 1, 2025 | 4.25 Mn |
| Apr 1, 2025 | 3.55 Mn |
| Dec 31, 2024 | 4.16 Mn |
| Oct 1, 2024 | 5.17 Mn |
| Jul 2, 2024 | 5.94 Mn |
| Apr 2, 2024 | 6.02 Mn |
| Jan 2, 2024 | 3.88 Mn |
| Oct 3, 2023 | 4.79 Mn |
| Jul 4, 2023 | 5.26 Mn |
| Apr 4, 2023 | 4.14 Mn |
| Jan 3, 2023 | 3.45 Mn |
| Sep 27, 2022 | 4.41 Mn |
| Jun 28, 2022 | 4.60 Mn |
| Mar 29, 2022 | 3.78 Mn |
| Dec 28, 2021 | 6.84 Mn |
| Sep 28, 2021 | 4.69 Mn |
API Access
Noodles Prepaid 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=prepaid-assets&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();